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.
Or split into 4x interest-free payments of 25% on orders over R50
Learn more
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.
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 | Simone Marinai, Hiromichi Fujisawa |
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 |