nach der Bestellung gedruckt Neuware - Printed after ordering - This book covers the idea of artificial intelligence for document analysis. It discusses optical character recognition techniques emphasising on Bangla isolated handwritten characters, script identification from character level texts and signature data.

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Bibliographic Details

Title: Document Processing Using Machine Learning
Publisher: Chapman And Hall/CRC
Publication Date: 2019
Language: English
ISBN 10: 036721847X
ISBN 13: 9780367218478
Binding: Buch
Condition: Neu
Dimensions: 240 millimeters width by 161 millimeters height by 15 millimeters depth
Weight: 446 grams

About this title

Synopsis

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.

About the Author

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

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AHA-BUCH GmbH
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