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BUSINESS SMARTIZATION AT COGENT LABS: BUSINESS PROCESS
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BUSINESS SMARTIZATION AT COGENT LABS: BUSINESS PROCESS
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PROPOSAL PLAN
BUSINESS SMARTIZATION AT COGENT LABS: BUSINESS PROCESS
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Table of Contents
Abstract ........................................................................................................................................... 3
Introduction ..................................................................................................................................... 4
COGENT LAB JAPAN .................................................................................................................. 4
COGENT LABS ARTIFICIAL INTELLIGENCE OPTICAL CHARACTER RECOGNITION . 5
COGENT LAB TEGAKI AI VALUE PROPOSITION ................................................................. 6
CLOUD-BASED, ARTIFICIAL INTELLIGENCE ONLINE HANDWRITING
RECOGNITION ALGORITHM .................................................................................................... 7
TEGAKI HANDWRITING RECOGNITION ALGORITHM FOR AI ...................................... 10
BUSINESS SMARTIZATION ..................................................................................................... 10
ON-LINE RECOGNITION PATTERNS ..................................................................................... 12
BUSINESS SMARTIZATION OF COGENT ENTERPRISE- AUTOMATING THE OCR
PROCESS USING ARTIFICIAL INTELLIGENCE ................................................................... 13
ENTREPRENEURSHIP ECO-SYSTEMS IN JAPAN ................................................................ 14
COGENT LABS: BUSINESS SMARTIZATION THROUGH ARTIFICIAL INTELLIGENCE
DOMAIN ...................................................................................................................................... 15
DRIVERS FOR BUSINESS AUTOMATION WITHIN COGENT LABS ................................. 16
COGENT LABS ARTIFICIAL INTELLIGENCE BUSINESS AUTOMATION PROCESSING
....................................................................................................................................................... 17
BENEFITS OF ADVANCING ARTIFICIAL INTELLIGENCE OPTICAL CHARACTER
RECOGNITION (OCR) FOR COGENT LABS .......................................................................... 17
COGENT LABS BUSINESS SMARTIZATION MODELS ....................................................... 18
COGENT LAB BUSINESS PROCESS OUTSOURCING- ADVANCING CHARACTER
RECOGNITION IN JAPANESE WRITING SYSTEMS ............................................................ 18
PROS AND CONS OF USING BUSINESS PROCESSING OUTSOURCING IN COGENT
LABS TO ADVANCE ONLINE HANDWRITING RECOGNITION ALGORITHM .............. 19
ADVANCING OPTICAL CHARACTER RECOGNITION ARTIFICIAL INTELLIGENCE
PARADIGM ................................................................................................................................. 20
OPTICAL CHARACTER RECOGNITION ARTIFICIAL INTELLIGENCE ....................... 20
COMPONENTS OF COGENT LABS OCR SYSTEMS ......................................................... 25
Optical scanning.................................................................................................................... 25
Feature Extraction ................................................................................................................. 25
ONLINE HANDWRITING RECOGNITION ......................................................................... 26
OPTICAL CHARACTER RECOGNITION FEASIBILITY STUDY......................................... 26
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TECHNICAL FEASIBILITY ................................................................................................... 27
ECONOMIC FEASIBILITY .................................................................................................... 27
JAPAN ENTREPRENEURSHIP ECOSYSTEMS ...................................................................... 28
SUMMARY .................................................................................................................................. 30
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Abstract
Handwriting enables the human to directly interact with each other more easily and
enhance advanced approach of effective communication protocols. Over the decades, human
beings have used handwriting patterns as a way of directly communicating to their intended
parties. New technological advancement in the Artificial Intelligence domain will affect the
different aspects of how human beings can use machine recognition of handwriting to ensure
appropriate communication patterns via PDAs. Artificial Intelligence (AI) guarantees replication
of the process with machine-based algorithms to perform functions such as language translation,
self-driving autonomous vehicle and medicinal AI based surgical operations. Computation
experts predict that in the next 50 years, AI will increase electronic transduction of the basic
concepts via the written language recognition algorithm. Online & Offline handwriting
recognition algorithm ensures increased communication trajectory through signature
authentication, character recognition & word processing algorithmic pattern. Cogent Lab intends
to create character recognition platform combining AI to coordinate with Optical Character
Recognition at real-time.
Keywords: Entrepreneurship; Start-up; Artificial Intelligence; Business Process; Optical
Character Recognition; Talent Management; Japan
BUSINESS SMARTIZATION AT COGENT LABS: BUSINESS PROCESS
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Introduction
Business automation guarantees the growth & influence of online writing recognition
algorithm to facilitate improved coordination, authentication & clear depiction of human-based
signature. Cogent Labs in Japan works with an experienced team of researchers in Artificial
Intelligence & Machine Learning to coordinate the human processes of handwriting process and
enable them to achieve automatic protocols via the machine learning patterns. Cogent Labs
Online & Offline Detection Algorithm develops an automated approach whereby experts can
obtain information extracted from the document via the AI-based in-depth learning protocols
(Amin, n.d.,).
Using multiple neural network mechanism, Artificial Intelligence Engines can observe
the user's stylus patterns & recognize verbs, character, and phrases. The importance of this
research is vital impetus to ensure real-time signature verification during credit card check-out at
supermarkets, subways & retails store Kessentini, Burger, & Paquet, 2010). The users can sign
via the PDAs to authenticate the signature and guarantee business process within the prerequisite
locations. Artificial Intelligence is vital to ensure automation of the handwriting process to make
it adequately fit the real world instances ("Applications of Artificial Intelligence," 1999).
COGENT LAB JAPAN
Cogent Labs’ is an AI-based technological hub that facilitates Research & Development
Research Protocols in solving problems using AI protocols. The mission of COGENT LABS is
to develop cutting-edge techniques in AI to automate complex issues & resolve issues deemed as
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extremely impossible. Cogent Labs applies the concept of technology in creating transformative
community & improves the quality of life within the society.
COGENT LABS ARTIFICIAL INTELLIGENCE OPTICAL CHARACTER
RECOGNITION
COGENT LABS aims at improving market gaps in Artificial Intelligence by providing
real-time solution centric towards favoring Japanese Market Structure. To improve the Japanese
Economy, Cogent Labs intends to increase the application of Artificial Intelligence to solve
societal problems (Cogent Labs Inc., 2017). The Vision of Cogent Labs is to ‘Shaping the future
with Artificial Intelligence and Improve the quality of life”. The core objective of COGENT
LABS is to “WE BELIEVE IN THE POWER OF ARTIFICIAL INTELLIGENCE TO HAVE
A MEANINGFUL IMPACT ON THE WORLD”. According to COGENT LABS, artificial
intelligence is a determinant methods of solving complex societal problems. COGENT LABS
uses artificial intelligence to create proprietary algorithms essential in solving human problems
in handwriting recognition, optical character recognition & improving how human being perform
their activity (Cogent Labs Inc., 2017).
The strong determinant for the success of COGENT LABS is a dedicated information
experts & specialists sandwiched with advanced business expertise and excellent academic skills.
COGENT LABS aims to use their knowledge in solving global business problems using
innovations (Cogent Labs Inc., 2017). Through artificial intelligence, COGENT LABS creates a
dedicated innovation approach to increase business value & address societal issues (Cogent Labs
Inc., 2017).
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COGENT LAB TEGAKI AI VALUE PROPOSITION
TEGAKI AI is a simplistic AI invention performing manual character recognition
framework making it real-time, automatic & increases the speed of generating synthetic elements
from the digital signature elements (Cogent Labs Inc., 2017). The problem state for TEGAKI AI
character recognition framework is to reduce time complexity. In Japanese writing systems,
TEGAKI AI uses the minimum time to process a larger batch of queued content (Cogent Labs
Inc., 2017).
The value proposition of TEGAKI AI is to use proprietary algorithms to proving
meaningful insights to the financial industries. Besides, TEGAKI AI improved human
coordination processes in real-time & generate time-series sequence necessary for making
economic predictions (Cogent Labs Inc., 2017). Using deep learning as the core technological
enterprise, cogent labs encompasses proprietary algorithm processing information in real-time.
Tegaki is essential for processing Japanese & Chinese Language Systems (Cogent Labs Inc.,
2017).
The central importance of using Tegaki AI allows clients to massively reduce their
business processing outsourcing costs aiding them further improve their costs acquisition
models. To fully achieve accurate Tegaki AI dynamics, COGENT LABS uses deep learning &
neural network protocols to advance handwriting recognition protocols in real-time instances
(Cogent Labs Inc., 2017).
Tegaki AI technological model promotes conversion of handwritten Japanese Languages,
Writing systems into conceptual text data using artificial intelligence & the on-premise cloud
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service is provided via API as a service cloud protocols. Tegaki AI encompasses the use of API
procedure calls to stimulate requests to business enterprise, solving human handwriting menace
via the API calls (Cogent Labs Inc., 2017).
CLOUD-BASED, ARTIFICIAL INTELLIGENCE ONLINE HANDWRITING
RECOGNITION ALGORITHM
Using multiple keystrokes, the TEGAKI AI automatically and dynamically recognizes
keystrokes elements with real-time instances & transform digital signatures into textual
information in which the COGENT LABS JAPAN automatically converts critical strokes into
analytic details. COGENT LABS projects development of API based ARTIFICIAL
INTELLIGENCE ONLINE HANDWRITING that can be embedded within the business
enterprise software & dynamically digitize the keystrokes in real-time instances.
Using pattern recognition & deep machine learning algorithm, the machine can
automatically detect Japanese writing systems. Online handwriting recognition recognizes
language symbols, alphanumerical identification of the Japanese Language. Furthermore, AI
online handwriting includes character segmentations requires separation of textual elements
captured from the users computer systems (SoftWorks AI, 2017).
Discrete character require segmentations involving the interaction amongst character
segmentations & handwriting recognition. Preprocessing of online handwriting recognition
algorithm enables the processing of handwriting data & importantly for the shape recognition
patterns. Through character segmentation, the handwriting recognition patterns allow extracting
textual information from the online recognition machine (SoftWorks AI, 2017).
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Cogent Labs intends to advance their character recognition algorithm to increase its
market dynamics by providing ultimate solutions to the their users base. Furthermore, artificial
intelligent OCR automatically predicts keystrokes & extract textual data from the multiple
keystrokes and improve data recognition algorithm. Handwriting consists of numerous strokes
forming each character at in a sequential order forming character recognition patterns. Japanese
writing systems includes Hiragana, Katakana, Kanji & English alphanumerical attributes
(SoftWorks AI, 2017).
Static & dynamic variation occurs within the typed elements representing each
characteristic in real-time scenarios. Dynamic variation captures multiple keystrokes from the
machine systems in real-time situations. Strokes direction determines the errors multiplier &
evaluates the textual data information. Characters upper & lower cases serve as the baseline for
the handwriting variations & enable character segmentation. Online data captures means
capturing data as the person writes.
Using multiple neural network engines, the artificial intelligence recognition algorithm
observes the user's stylus strokes and recognizes the user's character elements, words & phrases
elements.
Cogent Labs tries to adjust their AI protocols to include proprietary extensions that
automatically reads elements typed using users stylus elements & attempts to deduce the
character attrition and construct hypothesis based on it. Users type on the machine & the
machine translates the document assembling speculative information based on the information.
The critical technological footprint required to create an interactive AI based structure includes
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deep learning technologies, machine learning protocols, & Artificial Neural Network (ANN)
capability. Artificial Intelligence is a futuristic technological blueprint allowing users perform
complex tasks at ease and solving the problem through deep learning technologies and machine
learning approach. Through tensor neurons, the profound learning principle creates artificial
neurons essential for recognizing patterns within the image elements & train the constructed
network to facilitate fixed point realization of elements.
Embedded machine learning protocols attempt to create underlying artificial principle
technology using neural nodes to recognize the writing systems such as Japanese, Chinese,
English after the user's types to the tablets device using computer stylus translating the footprint
directly to the image database structure (YASUDA, TAKAHASHI, & MATSUMOTO, 2000,
p. 5). Using TEGAKI AI-powered recognition algorithm, the COGENT LABS AI handwriting
recognition engines enable people to digitally write on tablet devices using either their fingers,
stylus, input device and transform the writing into compressed data.
Advancing the digital footprint entails scanning the document, capturing it from the
tablets, sending the captured images to the database servers converting it into meaningful
information such as text, graphics elements, mathematical notations, musical notations enabling
the users to transform the captured aspects through sharing, editing capability & searching for
relevant features (YASUDA, TAKAHASHI, & MATSUMOTO, 2000, p. 5).
TEGAKI AI technological innovation should have advanced cross-platform ability and
available for either web-version, standardized platform or either run on an embedded platform.
Importantly, integrating to business consumer purpose is necessary for creating a proprietary
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structure through natural language processing (FKI: Research Group on Computer Vision and
Artificial Intelligence INF, University of Bern, 2016).
TEGAKI HANDWRITING RECOGNITION ALGORITHM FOR AI
Using Artificial Intelligence Protocols, TEGAKI utilizes the need for manual entry of
data entry. Using advanced web components & dominant API protocols, TEGAKI can be
integrated within Business Processing Outsourcing to meet the needs of the organizations.
TEGAKI AI seamlessly recognizes handwriting elements within the enterprise business
structures, industries such as Insurance, Healthcare, Banking (METZ, 2015).
BUSINESS SMARTIZATION
Artificial Intelligence plays a significant role in innovation & enhances how business
interacts with the need of solving problems related to OCR dynamics. Our Start-up immerses
powerful technologies to connecting more people & provided solutions in the sector of Artificial
Intelligence domain. Business smartization equips the company with strategies on how we can
create sustainable society through adopting technological architecture (Keysers, Deselaers,
Rowley, Wang, & Carbune, 2017).
Business smartization provides an increased channel of innovations to business processing
outsourcing. Business smartization process rises the strategies the Cogent Lab uses to influence
the outcome of their innovation implications. Business smartization should be illustrated in the
following technical scope:
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a. Technological approach. What strategy does Cogent Lab plan to implement advancement
of Optical Character Recognition Technique in improving artificial intelligence
handwriting concepts?
b. Services & product design of the AI-based algorithms. Can COGENT LAB improve the
algorithmic procedure based on the consumption patterns & to solve human-oriented
problems? The success of advancing Optical Character Recognition is directly dependant
on the likeability of the product, consumption patterns & how the OCR handwriting
recognition device is being designed.
c. Business strategy. Entrepreneurship entails growing start-up ecosystems and influences
the success of the algorithmic patterns. Cogent Lab utilizes the notion of algorithmic
procedures to increases the financial growth of the Business Processing Outsourcing
protocols. Innovation is the key strategy in achieving & implementing newer ideas and
give COGENT LABS Research & Development team to enhance AI protocols in
advancing the notion of OCR protocols in the handwriting recognition algorithmic
pattern.
Advancing handwriting technology is a critical influence on the business smartization within
the entrepreneurship ecosystems. Handwriting technology develops AI based framework that
performs automation of extracting elements within the document structure. Recognising
document patterns is extremely easy for human beings but removing them via deep machine
learning is involved. Offline & online handwriting provides unique challenges to in-depth
learning protocols combining each segment into a series of a defined length to create patterns
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using AI sequence business process outsourcing protocols. Languages such as Japan required
advanced OCR algorithm to extract the elements within the sequence at real-time instances.
COGENT LABS offers auxiliary research patterns on how we can advance our technological
footprints to promoting OCR handwriting implementation algorithm using deep learning & AI
architecture to increase automatic extraction of segmented elements improving our ability to
view the document (Keysers, Deselaers, Rowley, Wang, & Carbune, 2017, p. 1-10).
ON-LINE RECOGNITION PATTERNS
The cogent LAB plans to advance its handwriting technology to enable the machine to
recognize the character in real-time. Using Artificial Intelligence protocols, when the systems
user types within the document extraction fragment, the devices using deep learning AI analysis
examines the document & extracts meaningful information and submits to the central database
for signature verification (Cogent Labs Inc., 2017).
The speed, latency, and accuracy of the digital machines determines the ability of the
computers to increase recognition ability. On-line recognition utilizes the transducer machine
protocols to capture the writing sequence & improve profound learning ability in recognizing
segments of character within the computing devices. Digitizers constitutes machine learning
protocols with a sampling rate of 100 points per seconds (Cogent Labs Inc., 2017)..
Advancing on-line recognition devices improves the machine data processing in real-
time, the deep learning AI protocols capture the segments of elements in the OCR devices &
creates data elements that can be processed into meaningful insights. Using digitizers
technology, the data elements extracted are reconstituted into structured data.
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BUSINESS SMARTIZATION OF COGENT ENTERPRISE- AUTOMATING THE OCR
PROCESS USING ARTIFICIAL INTELLIGENCE
Business smartization is the process of an automation process by the artificial intelligence
domain. Cogent Lab plans to automate the process of Optical Character Recognition in the
Japanese Language to increase accuracy by offering end-users software as a service(SaaS)
capability.
Cogent Lab is offering Business Processing Outsourcing (BPO) capability offering cloud
software solutions to the dynamic clientele markets. Furthermore, Cogent Labs intends to
develop the OCR capability with the potential of using the AI centric solutions to achieve credit
management potential, to prove the authenticity of application entered in the Optical Character
Recognition dynamics.
Entrepreneurship ecosystems envision the possibility of applying Artificial Intelligence to
the OCR to solve the problem statement attached to it. Automating the OCR capability in Japan
is an advanced problem schematic that requires start-up influence to enable the business
enterprise to generate solutions for the problem statement. The leading role of business start-ups
is to create solutions for a given problem statement.
Automation of the OCR is a given problem in the Japan nation and requires applying
Artificial Intelligence to increase decision-making potential in proving the authenticity of credit
applications. Using enhanced business smartization, business enterprise create a correct
trajectory for which entrepreneurial ecosystems can produce proof of concepts, increase accuracy
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and create monetization theorem. Business Processing Outsourcing enables Cogent Servis to
transform business enterprise by advancing decision-making potential of the organization.
ENTREPRENEURSHIP ECO-SYSTEMS IN JAPAN
Entreprenuership is a combination of the willingness & passion of the person to achieve
their goals, expectations. An empirical study in Japan suggests that the number of growing start-
up systems has decreased significantly in the ratio of the growing population in Japan. The
factors influencing the start-up ecosystems includes age consideration, education, family status,
occupation, employment types, job tenure and the industry types.Furthermore, based on
empirical data the age effect coefficient and willingness to is a significant determinant of the
success of start-ups in Japan. Besides, entrepreneurship offers a perfect ground for continuous
innovations, economic sustainability, and increased employment potential deficit (Karlin, 2013).
In Japan, the ratio of start-up of new business has been lower based on the empirical data.
The primary factor influencing the propensity for the growth of start-up systems is the
preparation for start-up, the willingness of the entrepreneur to create start-ups and favorable laid-
down procedures that enable acceleration of start-up ecosystems (Karlin, 2013). Another
propelling issue influencing start-up ecosystems in the Japanese nation is the higher ratio of the
senior entrepreneur with over 60 years (Karlin, 2013).
Empirical studies suggest that a third of entrepreneurial founders are aged 60 years &
above. Further analysis depicts reduction ratio of younger founders. The willingness &
preparation of business start-up proportionately differs across age-group and significant
prosperity through which the pattern might change over a stipulated time. The primary
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determinant for the desire and development for the business start-up is a clear indication of the
success of entrepreneurial ecosystems. The fundamental implication for increasing
entrepreneurial ecosystems is to create awareness on its role in boasting innovations &
improving economic sustainability.
COGENT LABS: BUSINESS SMARTIZATION THROUGH ARTIFICIAL
INTELLIGENCE DOMAIN
Artificial Intelligence propensity influences every sector of the economy in the Japanese
nation. Business automation using artificial intelligence enables real-time decisions-making.
Market Research in Japan suggests that the digital economy is disruptive and data-centric
application ecosystems. The top five market capitalization includes:
a. Apple Corporation- $870 Billion
b. Alphabet Inc. -$647 Billion
c. Microsoft Corporation- $607 Billion
d. Facebook - $500 Billion
e. Amazon - $ 470 Billion
f. Berkshire Hathaway- $ 466 Billion
g. Alibaba - $ 450.9 Billion
Advancing Artificial Intelligence transforms the modern way of life. Artificial intelligence
reshapes humankind approach to science & technologies, industrialization, health, military &
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security influences. For instance, IBM WATSON using proprietary algorithm accurately predicts
medicinal effects to a greater extent. Artificial Intelligence enables self-driverless increasing data
processing making real-time decision making capability.
Business processing outsourcing enables increased decision making capability, increased the
potential for the revenue generated by the COGENT SERVIS START-UP ECOSYSTEMS &
improving innovation potential for Japan. AI researcher depicts that by 2025, the Artificial
intelligence domain will surpass the potential for improvement of human performance.
Artificial Intelligence ecosystems have exponentially grown during the 21
st
century. Using
Optical Character Recognition in Artificial Intelligence increases the potential of solving the
problem statement for the Japanese nation.
DRIVERS FOR BUSINESS AUTOMATION WITHIN COGENT LABS
Implementing Optical Character Recognition (OCR) in Japan will likely automate the
credit processing using the developed proprietary algorithm that proves the authenticity of digital
signature within the credit cards.
Exponential transformation of COGENT SERVIS business models, services, operations
and processes increases the real-time processing of decision. Artificial Intelligence ecosystems is
a critical technological pillar for shaping the future and changing how the Optical Character
Recognition (OCR) recognizes the digital signature within the credit card processing using
conceptual, proprietary algorithm.
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COGENT LABS ARTIFICIAL INTELLIGENCE BUSINESS AUTOMATION
PROCESSING
Using proprietary handwriting recognition algorithm with a precision rate of 99.2 %,
COGENT LABS TEGAKI AI solution problems statement is to eliminate the complex,
inaccurate manual data entry from application forms using Japanese writing systems. TEGAKI
AI uses an intuitive web interface enjoined using dominant API PROTOCOLS that communicate
with business enterprise in real-time. API PROTOCOLS fetch JSON data via the APIs to
communicate via the COGENT LABS Distributed Database Servers and interact with the
business enterprise OCR application to monitor for credit applications digital patterns (Tappert,
Suen, & Wakahara, n.d., p. 1123).
BENEFITS OF ADVANCING ARTIFICIAL INTELLIGENCE OPTICAL CHARACTER
RECOGNITION (OCR) FOR COGENT LABS
Artificial Intelligence increases the growth potential of Online Handwriting Recognition
in Japanese writing patterns. Using AI-powered Optical Character Recognition influences sales
of the start-up solutions to generate revenue-generating models. Artificial Intelligence capability
to solve human-oriented problems increases the sales of OCR components exponentially.
Furthermore, COGENT LABS advancing the OCR towards AI helps the organization achieve:
a. Boost sales generated by promoting Artificial Intelligence domain.
b. Efficiently boost operations. Artificial Intelligence boasts operational efficiency.
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c. Advancing Artificially induced Handwriting Recognition increases the customer
satisfaction potential.
d. Entrepreneurs can use Artificial Intelligence to boost consumers insights and generate a
better market analysis.
e. Start-up ecosystems can use AI to increase productivity potential, enhance productivity
constraints using lower operational costs.
COGENT LABS BUSINESS SMARTIZATION MODELS
Business smartization automates the AI Optical Recognition Protocols improving
customer insight enabling them to make better decisions. Cogent labs focus on enhancing Online
Handwriting Recognition using proprietary business models:
a. Promoting business growth and innovation strategy
b. Customer experience & value proposition
c. Optical Character Recognition increases business adaptability, alignment & agility.
d. Create data strategy influencing the growth potential for knowledge intelligence.
COGENT LAB BUSINESS PROCESS OUTSOURCING- ADVANCING CHARACTER
RECOGNITION IN JAPANESE WRITING SYSTEMS
Business processing outsourcing is contracting specific subcomponent of computer
systems with the aim of improving the solution in the organization. Through BPO framework,
Cogent Labs intends to develop the artificial intelligence capability to reduce operation costs,
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improve efficiency & upgrade the functionality of the OCR components. Artificial intelligence is
revolutionizing how we handle the business interaction through centralized API access.
TEGAKI API provides an auxiliary mechanism where the end users access JSON AI
tokens at real-time facilitating increased, an atomic communication between the distributed
parties. Through structured OCR toolkit, end-users can look at a real-time interaction between
the client perspectives. Most business will benefit immensely from creating sustainability from
AI-powered schematics.
To improve the accuracy of the handwriting systems, data structures are crowdsourced
from different business enterprise to perform data validation & verification simultaneously
(Tappert, Suen, & Wakahara, n.d., p. 1124).. Optical Character Recognition (OCR)
transaction detection, crowd-sourced data validation, and algorithmic reconciliation increases
the accuracy and consistence of the users writing patterns enabling them construct meaning
data insight based on the database servers information fetched via the AWS toolkit (Tappert,
Suen, & Wakahara, n.d., p. 1124).
PROS AND CONS OF USING BUSINESS PROCESSING OUTSOURCING IN COGENT
LABS TO ADVANCE ONLINE HANDWRITING RECOGNITION ALGORITHM
a. Using BPO saves a lot of time constraints required to develop proprietary Online
Character Recognition algorithmic patterns.
b. Saves time prerequisite that's distributed uniformly in the management of core
competencies of the applications.
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c. Increased consumer insights are necessary to facilitate accurate, efficient algorithmic
procedures.
d. Real-time data analytics patterns.
e. Enable using third-party API functionality essential for the generating solutions for a
given problem statement.
f. Contracting through business processing outsourcing is important concepts to enable
stimulated business acceleration since it reduces costs & exponentially increases the
quality of services (QoS) for business growth.
ADVANCING OPTICAL CHARACTER RECOGNITION ARTIFICIAL
INTELLIGENCE PARADIGM
OPTICAL CHARACTER RECOGNITION ARTIFICIAL INTELLIGENCE
OCR software improves human recognition patterns and enhances the probability of
biometric recognition protocols. Optical Character Recognition uses the deep machine leaning
recognizing characters within the document and extracts factual information instantly. Artificial
Intelligence aids the rate at which machine efficiently remove information from document
experts in real-time. Using OCR API procedure calls, Cogent Labs upgrades business interaction
with their advanced API communication algorithm (Tappert, Suen, & Wakahara, n.d., p. 1123).
Optical Character recognition is a business process whereby handwritten images, typed
elements, printed information are converted into machine-encoded textual data. Artificial
intelligence OCR enables business automatically recognize documents such as credit cards,
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billboard attributes thus simplifying data estimation model and the process of collecting data.
Cogent Labs intends to use deep machine learning, neural networks & Artificial Intelligence to
increase the efficiency of recognizing handwriting documents in shorter time constraints
(Tappert, Suen, & Wakahara, n.d., p. 1123).
Cogent Labs plans to facilitate the upgrading of Japanese writing systems verifying
digital signature scanned from the credit card information schema. Cogent Labs intends to
develop an advanced architectural design for efficiently analyze human handwriting patterns
across the Multilanguage association (Cogent Labs Inc., 2017).
Optical character recognition is the prerequisite in the scenarios where the digitized
content should be readable for both human & machine-encoded. The problem statement for OCR
is to recognize the recognizing digital content through digital scanning paradigm. Optical
recognition can be offline & online; on-line recognition pattern identifies document elements
during the same time the system's user types the details in the computer filling protocols. Using
AI-based approach, OCR can coherently increase the quality of synthesized elements through
supervised deep learning operating procedures. Automatic identification of the scanned, digitized
factors enhances the quality of the produced components through online, off-line recognition
algorithm.
Through optical scanning, digital content of an image is captured & translated into a
centralized server for analysis. OCR has been utilized efficiently in meeting the end-user
perspective of the human handwriting process automation for systems users. OCR can cover the
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aspects of centralized data entry process. Document scanning approach enables digitization of
limited sets of printable elements such as typed textual data.
COGENT LABS intends to increase human interaction process by aiding improvement of
signature verification & identification. OCR determines the identity of pattern constraints &
accessed elements stored coherently in a centralized database structure. Through API, the
business can link with the established API calls for determining the verification patterns for
Japanese writing pattern schematics. Furthermore, AI OCR systems increase the verification
patterns for OCR, enhancing structures where COGENT LABS experts team can adjust their
B2B API to communicate in real-time with the business associated with OCR protocols. Besides,
advancing OCR enables recognition of constrained handwriting patterns that pose as a problem
for users in correlated handwritten character.
Artificially powered OCR readers embedded in machine learning to create
interconnectedness of information data schematics. Furthermore, through AI Optical Character
Recognition intelligent systems can recognize handprinted character & scans them to a
centralized server, through the proprietary algorithm the textual data is analyzed to determine the
validity & verification of data within the information data schematics.
The accuracy of the OCR systems is dependently variant on the quality of the input
documents. Technical factors such as variation in shape attributes, deformation of textual
elements & variation in spacing elements forces serve as a problem concerns in developing
accurate, concise OCR Artificial Intelligent systems increasing the errors generating thus
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affecting the viability of generic data elements. Cogent Labs intends to use Artificial Intelligence
systems to avoid human-oriented made mistakes effectively.
Artificial Intelligence Optical Character Recognition provides auxiliary technology
enabling development of structured approach of converting document types such as document
scanned elements, digitized document, PDF files components into searchable data elements.
Artificial Intelligence embodies the ability to use broad machine learning paradigm, artificial
neural network approach of scanning digitized images to extract synthetic textual data necessary
for verification. OCR APIs can be used by the business enterprise to examine digitized images,
retrieve the information & sends the textual data to a centralized server. OCR provides a better,
fast, coherent, scalable data capture algorithm saving extensive time on resource constraint, time
factors.
Optical Character Recognition embraces automation of human recognition patterns into
distinct actual textual information data. OCR toolkit enables performing digitization of
handwriting texts through optical scanners. Artificial intelligence OCR involves electronic
conversion & scanning of images of the typewritten, handwriting Japanese languages into
machine-encoded computer-readable text information (Tappert, Suen, & Wakahara, n.d.,
p. 1124).
OCR enables the algorithmic deformation of handwriting systems preprocessing
relevant data from the database templates. Traditional document imaging methods use models
and algorithms in a two-dimensional environment to recognize objects and patterns. OCR
methods today acknowledge a broader spectrum of colors, and they can dynamically
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distinguish between the background and the forefront in digitized documents. The proprietary
algorithm de-skew, de-speckle and enables 3-D image correction to work with lower resolution
scanned images. OCR software on the market today include an imaging technology called
matrix matching technological footprint. Matrix matching is a form of artificial intelligence
which combines feature extraction and similarity measuring. Matrix matching technology
brings new tools to optimal character resolution, including de-skewing, de-speckling and 3-D
correction. Traditionally, OCR was linked with scanning software. The software gathers clues
from the scanning process to provide more accurate OCR results. But not all images are
available to you in hard copy, and you may not always have a scanner. Some of the text you
want to extract is only available in a PDF or other graphics file that you downloaded from the
internet. Most PDF files you make today automatically include searchable qualities. Adobe
Acrobat Reader, the free PDF reader you can download today, consists of a cursor mouse
pointer that allows you to copy a document's text onto your clipboard. Older PDFs don't let
you do that. More advanced PDF software such as Adobe Acrobat Pro allows you to protect
the version of your document. To extract the text, OCR software programs will need your
password.
OCR research attributes efficient artificial intelligence, human recognition & increasing
optical character recognition through auxiliary techniques such as digitized images, scanning
attributes & scanning handwriting elements to extract data. Through preprocessing attrition,
OCR improves the quality of the documents and makes it better & thus it can be easily
recognized within the digital scanners through noise removal protocols, image binarization, edge
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detections & using proprietary algorithms to synthesize handwritten elements through Artificial
Intelligence mechanism.
Furthermore, artificial intelligence OCR algorithmic pattern transforms the data inputs
into distinct sets of features through feature extraction of the digital content. Feature detection
manipulates raw data images through Artificial Neural Networks k-NN algorithm transform
digitized images through feature allocation space. Also, feature extraction enables extraction of
scanned images to identify the properties & elements of character recognition pattern uniquely.
COMPONENTS OF COGENT LABS OCR SYSTEMS
Optical scanning
Cogent labs OCR improves the functionality of handwriting recognition process through
which the digital scanners scans an original document. OCR fundamentally converts multilevel
data images into scanned digital conversion images (Wright, 2015).
Advancing OCR artificial intelligence segments the constituent of pixels such as
company logo, business imprints, stamping purposes, recognizes stamps & company high-
density images. Human recognition AI based structures increase the resolutions of pictures
through Optical Character Recognition patterns (Wright, 2015).
Feature Extraction
The objective of creating Artificial Intelligence Optical Character Recognition (OCR)
enables feature extraction to capture essential character of the digitized images. Cogent labs
OCR API rasters the pixel characteristics of models increasing the threshold of images elements.
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ONLINE HANDWRITING RECOGNITION
Online handwriting recognition describes that the algorithm recognizes the user
keystrokes at a real time. As the user types on the machine, the algorithm dynamically deduces
the keystrokes & process the request at real-time scenarios. The recognition technique directly
depends on the speed of the computer systems, the lag time of the computer systems &
technological structure of the AI handwriting recognition techniques (Wright, 2015).
In online recognition, the transducer elements capture the keystrokes, determines the
patterns of the writing through advanced sampling rate of 200 points per inch through digitizers
such as Tablets. On-line data capturing technique captures data during the situation where the
users write on the machine elements & preprocess the requests. Advancing through AI increases
the direct potential of increases the recognition ability of data captured techniques (Pham,
Bluche, Kermorvant, & Louradour, 2014, p. 5).
OPTICAL CHARACTER RECOGNITION FEASIBILITY STUDY
Feasibility study critically analyses a project scope, evaluate the problems statement &
detect the viability of the project in meeting increasing human needs. After generating issues
statement for efficiently designing AI based optical character recognition algorithm, the
COGENT LABS JAPAN evaluates the authenticity of the innovative concerns & lay forth
auxiliary points if the projects meet the information technology threshold. Artificial intelligence
is a futuristic concern of operating procedures of business ventures aimed at minimizing errors.
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TECHNICAL FEASIBILITY
The central question to answer while developing technical feasibility is the aim of the
project in meeting end-user requirement perspective. Is the required technology essential for
solving errors in human handwriting patterns?
During creating an advanced system, the information experts can thoroughly analyze the
merits of developing versioned systems & how the methods can be able to meet increased users
expectations. What the significant barriers to information? Optical character recognition requires
advanced human expertise & thus having a fundamental software metrics on the artificial
intelligence resolution paradigm.
ECONOMIC FEASIBILITY
Economic feasibility generates the costs implication of developing Artificial Intelligence
OCR conceptualized model. Furthermore, financial viability weighs on the merits of advancing
new information systems & how it can enable users to achieve improved human interaction
patterns. Economic feasibility necessitates planning procedures and provides top management
with economic justifications of the advancing their new technological enterprise.
Besides, benefits of increased automation on the end users perspective includes
expanding human interaction approach & improving their mechanism of making timely, quality
decisions, improving their accuracy of standard operation & largely contributes on the correct
entrepreneurship policies for Japan. Economic feasibility tests estimates on the success rationale
of the entrepreneurship models & start-up bubble across Japan to improve revenue generating
model in Japan.
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JAPAN ENTREPRENEURSHIP ECOSYSTEMS
Entrepreneurship focus on improving the livelihood of Japan through creating all-
inclusive society facilitating higher economic empowerment. Japan Economy is more likely to
be in the hands of larger corporations. Japan Ecosystems is expected to be boasted by the open
access to innovations & ability for larger firms to adopt new ideas and develop innovative
concerns that's more likely to possess creative matters (Kushida, 2016, p. 4).
The Japan Start-up ecosystems are more likely to scale due to increased market
dynamics. Japan venture capital is expected to grow dynamically, providing open access
governance to greater approaches to industrialization techniques(Kushida, 2016, p. 4).
COGENT LABS intends to offer a whole entrepreneurial approach to market governance
through advancing technological footprint. The rise of independent venture capitalist increases
returns on investment for start-up ecosystems. Web-based AI-powered OCR toolkit will more
likely boost the corporate access to improved information coordination. Entrepreneurship
ultimately encourages the growth of business ventures & increases the rate of innovation,
economic empowerment in the Japan Nation (Zhang, 2017).
High start-up ecosystems rationale enhances the growth of commercial gross per capita
formulation. The policy recommendation is likely to popularize higher growth in the Japan Stock
Listing Enterprise. New Economy Summit in the Japan provides entrepreneurs life-changing
opportunity to interact with high-stake silicon valley entrepreneurs to achieve a formidable
entrepreneurship culture for Japan Nation. Furthermore, technological summits & conferences
such as Infinity Venture Summit brings a more substantial number of corporations to the Kyoto
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on annual to discuss the auxiliary mechanism of how best they can improve their startup
ecosystems through the centralized hub of investors, entrepreneurs & high startup strategic
partnership. Increasing support mechanism is vital for the growth of business corporation
through diplomatic partner valuation strategies (Ford, 2016). Furthermore, the best way of
handling increased startup culture is too centralized its operation & create open governance
methodology to expand its economic empowerment (Ford, 2016).
Japan economic empowerment should legitimize & provide access to incentives to
startup ecosystems solving real-world problems such as Artificial Intelligence driven Optical
character recognition. Furthermore, the governing authorities should create a comprehensive
database that lists the startups based on their revenues & deduces policy recommendation
through Research & Development of how they can achieve optimum success .
Japan Startup should become part of Y Combinator to scale their global presence. Also,
there should be active efforts in strengthening university-government ties thus boasting
successful startup.
Government policies are key growth pillars gauging the success of startup entrepreneurial
ecosystems. Through government policies, startups are given direct subsidies on goods &
services creating advancement Information Technology enabled revolutionary. Japan
government can create open access market structure that forms schematic concerns on how we
can improve entrepreneurial matters.
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SUMMARY
The state of advancing the online handwriting recognition patterns is fundamental in
ensuring users automatically predicts keystrokes, analyze the multiple keystrokes instantaneously
& evaluate the projections making a conclusive argument, thesis based on the predictions. Using
the advanced capability of Artificial Intelligence, a business enterprise can construct document
recognition algorithm that predicts the outcome of the attributes & deduces to see if the digitized
content meets required scenarios. Furthermore, advancement in online recognition patterns
automatically makes the discrete communication elements. Spacing distinct characters allow
character segmentations are deducing better hypothesis for user perspective.
COGENT LABS plans to create AI enabled API procedure calls for business enterprises
facilitating full recognition of characters to make the communication real-time & enable create
relatively prerequisite character recognition pattern. Through the whole art of entrepreneurship,
Cogent Labs intends to upgrade its TEGAKI AI & discretely shape character segmentation
allowing preprocessing of character elements that necessitate the factor of distinguishing
between the character & numerical elements. Bridging the relationship between the Silicon
Valley & Japan increasingly improves their artificially induced character recognition patterns
through empowering entrepreneurial ecosystems, facilitating advanced research & development
through artificial intelligence. Cogent dedicatedly strives to strengthen providing intelligence
systems handwriting recognition patterns artificially.
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References
Amin, A. (n.d.). Off line Arabic character recognition: a survey. Proceedings of the Fourth
International Conference on Document Analysis and Recognition.
doi:10.1109/icdar.1997.620572
Applications of Artificial Intelligence. (1999). Artificial Intelligence, 114(1-2), 1-2.
doi:10.1016/s0004-3702(99)00086-7
Artificial Intelligence Is Getting Smarter. (2017, November 8). Retrieved from
https://www.twice.com/blog/how-ai-pervading-and-enhancing-consumer-electronics-
65558
Cogent Labs Inc. (2017). Cogent Labs | Shaping the future with Artificial Intelligence.
Retrieved December 14, 2017, from https://www.cogent.co.jp/en/
Cogent Labs Inc. (2017). Tegaki.ai | AI?????????????OCR | Tegaki.ai.
Retrieved December 14, 2017, from https://www.tegaki.ai/
FKI: Research Group on Computer Vision and Artificial Intelligence INF, University of
Bern. (2016, February 6). IAM On-Line Handwriting Database — Computer Vision
and Artificial Intelligence. Retrieved December 14, 2017, from
http://www.fki.inf.unibe.ch/databases/iam-on-line-handwriting-database
Ford, P. (2016, May 17). Barriers to entrepreneurship in Japan. Retrieved from
https://home.kpmg.com/xx/en/home/insights/2016/05/barriers-to-entrepreneurship-in-
japan.html
Garain, U., Chaudhuri, B., & Pal, T. (n.d.). Online handwritten Indian script recognition: a
human motor function based framework. Object recognition supported by user
interaction for service robots. doi:10.1109/icpr.2002.1047820
BUSINESS SMARTIZATION AT COGENT LABS: BUSINESS PROCESS
OUTSOURCING
Handwriting Recognition By Machine Learning. (2016, September 23).
Retrieved December 14, 2017, from http://pclub.in/project/2016/09/23/Ml_HR.html
How to rev up Japanese startups. (2016, November 5). Retrieved December 14, 2017, from
https://www.economist.com/news/business/21709578-japan-needs-do-more-
encourage-new-businesses-how-rev-up-japanese-startups
Karlin, A. R. (2013, March 22). Entrepreneurship in Japan. Retrieved December 14, 2017,
from https://global.wharton.upenn.edu/entrepreneurship-in-japan/
Kessentini, Y., Burger, T., & Paquet, T. (2010). Evidential Combination of Multiple HMM
Classifiers for Multi-script Handwritting Recognition. Computational Intelligence for
Knowledge-Based Systems Design, 445-454. doi:10.1007/978-3-642-14049-5_46
Keysers, D., Deselaers, T., Rowley, H. A., Wang, L., & Carbune, V. (2017). Multi-Language
Online Handwriting Recognition. IEEE Transactions on Pattern Analysis and
Machine Intelligence, 39(6), 1180-1194. doi:10.1109/tpami.2016.2572693
Kushida, K. E. (2016). The Impact of Digital Technologies on Innovation Policy. SSRN
Electronic Journal. doi:10.2139/ssrn.2856155
METZ, C. (2015, November 9). Google Just Open Sourced the Artificial Intelligence Engine
at the Heart of Its Online Empire. Retrieved December 14, 2017, from
https://www.wired.com/2015/11/google-open-sources-its-artificial-intelligence-
engine/
MyScript. (2017). MyScript Labs | MyScript. Retrieved December 14, 2017, from
https://www.myscript.com/about/myscript-labs/
BUSINESS SMARTIZATION AT COGENT LABS: BUSINESS PROCESS
OUTSOURCING
NeuroScript. (2017). NeuroScript Computer Science handwriting analysis and handwriting
recognition software. Retrieved December 14, 2017, from
http://www.neuroscript.net/computerscience.php
Pham, V., Bluche, T., Kermorvant, C., & Louradour, J. (2014). Dropout Improves Recurrent
Neural Networks for Handwriting Recognition. 2014 14th International Conference
on Frontiers in Handwriting Recognition. doi:10.1109/icfhr.2014.55
SELVAS AI Inc. (2017). Overlapped Handwriting recognition, handwriting input method
editor online. Retrieved December 14, 2017, from
https://www.selvasai.com/en/handwriting-recognition-solution.php
SoftWorks AI. (2017). Handwriting Recognition Software – Softworks AI.
Retrieved December 14, 2017, from https://softworksai.com/?libraries=handwriting-
recognition-software
Stanford. (2017). Innovation and Entrepreneurship in Japan: Why Japan (Still) Matters for
Global Competition. Retrieved December 14, 2017, from
https://fsi.stanford.edu/sites/default/files/ssrn-id2956898.pdf
Tappert, C., Suen, C., & Wakahara, T. (n.d.). Online handwriting recognition-a survey.
[1988 Proceedings] 9th International Conference on Pattern Recognition.
doi:10.1109/icpr.1988.28459
Wright, M. (2015, July 24). This AI experiment can generate realistic handwriting. Retrieved
from https://thenextweb.com/apps/2015/07/24/ballad-of-roy-batty/
YASUDA, H., TAKAHASHI, K., & MATSUMOTO, T. (2000). A DISCRETE HMM FOR
ONLINE HANDWRITING RECOGNITION. International Journal of Pattern
BUSINESS SMARTIZATION AT COGENT LABS: BUSINESS PROCESS
OUTSOURCING
Recognition and Artificial Intelligence, 14(05), 675-688.
doi:10.1142/s021800140000043x
Zhang, Q. V. (2017, March 6). Entrepreneurship growing in Japan, but challenges remain.
Retrieved December 14, 2017, from
http://news.medill.northwestern.edu/chicago/entrepreneurship-growing-in-japan-but-
challenges-remain/

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