Document Processing Using Machine Learning

1. Auflage 2019
ISBN: 978-0-367-21847-8
Verlag: CRC PR INC

Buch, Englisch, 182 Seiten, Format (B × H): 157 mm x 239 mm, Gewicht: 363 g

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.

Autoren/Hrsg.

Obaidullah, Sk Md

Santosh, Kc

Goncalves, Teresa

Das, Nibaran

Roy, Kaushik

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation

Inhaltsverzeichnis

Preface

Editors

Contributors

1. Artificial Intelligence for Document Image Analysis

Himadri Mukherjee, Payel Rakshit, Ankita Dhar, Sk Md Obaidullah, KC Santosh, Santanu Phadikar and Kaushik Roy

2. An Approach toward Character Recognition of Bangla Handwritten Isolated Characters

Payel Rakshit, Chayan Halder and Kaushik Roy

3. Artistic Multi-Character Script Identification

Mridul Ghosh, Himadri Mukherjee, Sk Md Obaidullah, KC Santosh, Nibaran Das and Kaushik Roy

4. A Study on the Extreme Learning Machine and Its Applications

Himadri Mukherjee, Sahana Das, Subhashmita Ghosh, Sk Md Obaidullah, KC Santosh, Nibaran Das and Kaushik Roy

5. A Graph-Based Text Classification Model for Web Text Documents

Ankita Dhar, Niladri Sekhar Dash and Kaushik Roy

6. A Study of Distance Metrics in Document Classification

Ankita Dhar, Niladri Sekhar Dash and Kaushik Roy

7. A Study of Proximity of Domains for Text Categorization

Ankita Dhar, Niladri Sekhar Dash and Kaushik Roy

8. Supervised Learning for Aggression Identification and Author Profiling over Twitter Dataset

Kashyap Raiyani and Roy Bayot

9. The Effect of Using Features Computed from Generated Offline Images for Online Bangla Handwritten Character Recognition

Shibaprasad Sen, Ankan Bhattacharyya and Kaushik Roy

10. Handwritten Character Recognition for Palm-Leaf Manuscripts

Papangkorn Inkeaw, Jeerayut Chaijaruwanich and Jakramate Bootkrajang

Index

Über Autor(innen)

Sk Md Obaidullah, KC Santosh, Teresa Goncalves, Nibaran Das, Kaushik Roy