Handbook of Document Image Processing and Recognition

Doermann, David; Tombre, Karl

The Handbook of Document Image Processing and Recognition is a comprehensive resource on the latest methods and techniques in document image processing and recognition. Each chapter provides a clear overview of the topic followed by the state of the art of techniques used – including elements of comparison between them – along with supporting references to archival publications, for those interested in delving deeper into topics addressed. Rather than favor a particular approach, the text enables the reader to make an informed decision for their specific problems.

Details

Published by: Springer

Publication Date: 2014-05-21

Format: Hardcover

ISBN-13: 9780857298584

DOI: 10.1007/978-0-85729-859-1

Dimensions: 235cm x155cm

Pages: 1055