Document Processing Using Machine Learning

1st Edition

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

Chapman and Hall/CRC
December 20, 2019 Forthcoming
Reference - 216 Pages - 97 B/W Illustrations
ISBN 9780367218478 - CAT# K419556

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Summary

The book aims at presenting a handful of resources for students and researchers, who are working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with the 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 use of input data: image or simply texts.

In brief, the book offers comprehensive coverage of the most essential topics, including:

  • Role of AI for document image analysis
  • Optical character recognition
  • Machine learning algorithms for document analysis
  • Extreme learning machine and its applications (document understanding)
  • Mathematical foundation for Web text document analysis
  • Social media data analysis
  • Modalities for document dataset generation.

This book serves to 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.