Document processing using machine learning

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Type
E-Book
Authors
ISBN 13
9780429277573
Category
E-resources
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Publication Year
2020
Publisher
CRC Press, United States
Pages
xiii, 183 p. : ill.
Subject
1. Document Processing
Tags
Abstract
Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text.
In brief, the book offers comprehensive coverage of the most essential topics, including:
· The role of AI for document image analysis
· Optical character recognition
· Machine learning algorithms for document analysis
· Extreme learning machines and their applications
· Mathematical foundation for Web text document analysis
· Social media data analysis
· Modalities for document dataset generation
This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.
In brief, the book offers comprehensive coverage of the most essential topics, including:
· The role of AI for document image analysis
· Optical character recognition
· Machine learning algorithms for document analysis
· Extreme learning machines and their applications
· Mathematical foundation for Web text document analysis
· Social media data analysis
· Modalities for document dataset generation
This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.
Description
chapter 1|14 pages
Artificial Intelligence for Document Image Analysis
ByHimadri Mukherjee, Payel Rakshit, Ankita Dhar, Sk Md Obaidullah, KC Santosh, Santanu Phadikar, Kaushik Roy
Abstract
chapter 2|14 pages
An Approach toward Character Recognition of Bangla Handwritten Isolated Characters
ByPayel Rakshit, Chayan Halder, Kaushik Roy
Abstract
chapter 3|15 pages
Artistic Multi-Character Script Identification
ByMridul Ghosh, Himadri Mukherjee, Sk Md Obaidullah, KC Santosh, Nibaran Das, Kaushik Roy
Abstract
chapter 4|10 pages
A Study on the Extreme Learning Machine and Its Applications
ByHimadri Mukherjee, Sahana Das, Subhashmita Ghosh, Sk Md Obaidullah, KC Santosh, Nibaran Das, Kaushik Roy
Abstract
chapter 5|15 pages
A Graph-Based Text Classification Model for Web Text Documents
ByAnkita Dhar, Niladri Sekhar Dash, Kaushik Roy
Abstract
chapter 6|16 pages
A Study of Distance Metrics in Document Classification
ByAnkita Dhar, Niladri Sekhar Dash, Kaushik Roy
Abstract
chapter 7|15 pages
A Study of Proximity of Domains for Text Categorization
ByAnkita Dhar, Niladri Sekhar Dash, Kaushik Roy
Abstract
chapter 8|19 pages
Supervised Learning for Aggression Identification and Author Profiling over Twitter Dataset
ByKashyap Raiyani, Roy Bayot
Abstract
chapter 9|23 pages
The Effect of Using Features Computed from Generated Offline Images for Online Bangla Handwritten Character Recognition
ByShibaprasad Sen, Ankan Bhattacharyya, Kaushik Roy
Abstract
chapter 10|18 pages
Handwritten Character Recognition for Palm-Leaf Manuscripts
ByPapangkorn Inkeaw, Jeerayut Chaijaruwanich, Jakramate Bootkrajang
Abstract
Artificial Intelligence for Document Image Analysis
ByHimadri Mukherjee, Payel Rakshit, Ankita Dhar, Sk Md Obaidullah, KC Santosh, Santanu Phadikar, Kaushik Roy
Abstract
chapter 2|14 pages
An Approach toward Character Recognition of Bangla Handwritten Isolated Characters
ByPayel Rakshit, Chayan Halder, Kaushik Roy
Abstract
chapter 3|15 pages
Artistic Multi-Character Script Identification
ByMridul Ghosh, Himadri Mukherjee, Sk Md Obaidullah, KC Santosh, Nibaran Das, Kaushik Roy
Abstract
chapter 4|10 pages
A Study on the Extreme Learning Machine and Its Applications
ByHimadri Mukherjee, Sahana Das, Subhashmita Ghosh, Sk Md Obaidullah, KC Santosh, Nibaran Das, Kaushik Roy
Abstract
chapter 5|15 pages
A Graph-Based Text Classification Model for Web Text Documents
ByAnkita Dhar, Niladri Sekhar Dash, Kaushik Roy
Abstract
chapter 6|16 pages
A Study of Distance Metrics in Document Classification
ByAnkita Dhar, Niladri Sekhar Dash, Kaushik Roy
Abstract
chapter 7|15 pages
A Study of Proximity of Domains for Text Categorization
ByAnkita Dhar, Niladri Sekhar Dash, Kaushik Roy
Abstract
chapter 8|19 pages
Supervised Learning for Aggression Identification and Author Profiling over Twitter Dataset
ByKashyap Raiyani, Roy Bayot
Abstract
chapter 9|23 pages
The Effect of Using Features Computed from Generated Offline Images for Online Bangla Handwritten Character Recognition
ByShibaprasad Sen, Ankan Bhattacharyya, Kaushik Roy
Abstract
chapter 10|18 pages
Handwritten Character Recognition for Palm-Leaf Manuscripts
ByPapangkorn Inkeaw, Jeerayut Chaijaruwanich, Jakramate Bootkrajang
Abstract
Biblio Notes
Note: Includes references
Number of Copies
1
Library | Accession No | Call No | Copy No | Edition | Location | Availability |
---|---|---|---|---|---|---|
Main | 0 | Request access: https://bit.ly/LibAssist | 1 | Yes |