DocumentCode :
1994380
Title :
A recognition and verification strategy for handwritten word recognition
Author :
Morita, M. ; Sabourin, R. ; Bortolozzi, F. ; Suen, C.Y.
Author_Institution :
Ecole de Technologie Superieure, Montreal, Que., Canada
fYear :
2003
fDate :
3-6 Aug. 2003
Firstpage :
482
Abstract :
In this paper a word recognition and verification scheme based on HMMs is presented. However, the main contribution of the current work lies in the validation of such a strategy. In order to perform this task, we carried out some experiments on word recognition using a legal amount database and then we compared the results reached with other study which makes use of the same database. The experiments demonstrate the efficiency of the strategy we developed for word recognition and verification.
Keywords :
bank data processing; cheque processing; document image processing; feature extraction; handwriting recognition; hidden Markov models; HMM; handwritten word recognition; hidden Markov model; legal amount database; recognition strategy; verification strategy; Databases; Handwriting recognition; Hidden Markov models; Humans; Image recognition; Image segmentation; Law; Legal factors; Machine intelligence; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on
Print_ISBN :
0-7695-1960-1
Type :
conf
DOI :
10.1109/ICDAR.2003.1227712
Filename :
1227712
Link To Document :
بازگشت