DocumentCode :
1583057
Title :
A framework of combining numeric string recognizers
Author :
Ye, Xiangyun ; Cheriet, Mohamed ; Suen, Ching Y.
Author_Institution :
Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
716
Lastpage :
720
Abstract :
Although promising results on the combination of character recognizers have been reported recently, the combination strategies can not be readily applied to the recognition of character strings due to m-n correspondence problems caused by segmentation errors. In this paper, we propose a new paradigm of combining multiple string recognizers and contribute a generic framework for off-line combination. We designed and implemented a graph based off-line combination system, StrCombo, which has achieved a substantial improvement over any one of the individual recognizers in a real-life application. This open combination system provides the possibility of further improving the performance of string recognizers when new recognizers and combination rules are available
Keywords :
character recognition; image segmentation; string matching; StrCombo; character recognizers m-n correspondence problems; generic framework; multiple string recognizers; numeric string recognizers; off-line combination; segmentation errors; Artificial intelligence; Character recognition; Handwriting recognition; Image recognition; Laboratories; Machine intelligence; Merging; Optical character recognition software; Pattern recognition; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-1263-1
Type :
conf
DOI :
10.1109/ICDAR.2001.953883
Filename :
953883
Link To Document :
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