Handbook of Document Image Processing and Recognition

David Doermann; Karl Tombre

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

Handbook of Document Image Processing and Recognition

David Doermann
, Karl Tombre

Department of Computer Science and Engineering

Université de Lorraine

Research output: Book/Report › Book › peer-review

54 Scopus citations

Abstract

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.

Original language	English
Publisher	Springer London
Number of pages	1055
ISBN (Electronic)	9780857298591
ISBN (Print)	9780857298584
DOIs	https://doi.org/10.1007/978-0-85729-859-1
State	Published - Jan 1 2014

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Handbook of Document Image Processing and Recognition

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