Machine Learning in Document Analysis and Recognition (Paperback, Softcover reprint of hardcover 1st ed. 2008)


The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world. It includes pointers to challenges and opportunities for future research directions. The main goal of the book is to identify good practices for the use of learning strategies in DAR.


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Product Description

The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world. It includes pointers to challenges and opportunities for future research directions. The main goal of the book is to identify good practices for the use of learning strategies in DAR.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Studies in Computational Intelligence, 90

Release date

November 2010

Availability

Expected to ship within 10 - 15 working days

First published

2008

Editors

,

Dimensions

235 x 155 x 23mm (L x W x T)

Format

Paperback

Pages

434

Edition

Softcover reprint of hardcover 1st ed. 2008

ISBN-13

978-3-642-09511-5

Barcode

9783642095115

Categories

LSN

3-642-09511-9



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