DocumentCode
2030302
Title
Combination of contextual information for handwritten word recognition
Author
Koch, Guillaume ; Paquet, Thierry ; Heutte, Laurent
Author_Institution
Laboratoire PSI, Universite de Rouen, France
fYear
2004
fDate
26-29 Oct. 2004
Firstpage
468
Lastpage
473
Abstract
In this paper, we present a method for the recognition of handwritten words extracted from real incoming mail documents. The word recognition process is based on three different sources of information: outputs of a character classifier, contextual information extracted from word shapes and some a priori knowledge. Reported results demonstrate the benefit of those additional information on the word recognition rates. This approach is evaluated on a database of 5000 words= examples.
Keywords
handwritten character recognition; natural languages; pattern classification; postal services; word processing; character classifier; contextual information; handwritten word recognition; incoming mail documents; word shapes; Character recognition; Data mining; Dispatching; Handwriting recognition; Image recognition; Image segmentation; Image storage; Postal services; Robustness; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on
ISSN
1550-5235
Print_ISBN
0-7695-2187-8
Type
conf
DOI
10.1109/IWFHR.2004.27
Filename
1363955
Link To Document