DocumentCode :
2525649
Title :
Multiple recognizers system using two-stage combination
Author :
Paik, Jonghyun ; Cho, Sung-Bae ; Lee, Kwanyong ; Lee, Yillbyung
Author_Institution :
Dept. of Comput. Eng., Yonsei Univ., Seoul, South Korea
Volume :
4
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
581
Abstract :
Most of the multiple recognizers system use a single combination method, therefore recognition performance depends on the characteristics of selected combination method. In order to solve this dependency problem and to increase recognition performance, we propose a new combination architecture of multiple recognizer that has two combination stages. The proposed system consists of three stages: 1) the recognition stage including 5 recognizers, 2) the first combination stage including 3 combinators which belong to different level, and 3) the combination stage including a simple combinator. We verify the performance of the proposed system using two standard handwritten digit database, CEDAR and CENPARMI, and recognition performance is better than other single combinator systems
Keywords :
Bayes methods; character recognition; feature extraction; multilayer perceptrons; visual databases; Bayes method; Borda function; CEDAR; CENPARMI; character recognition; combination architecture; feature extraction; handwritten digit database; multilayer perceptron; multiple recognizers system; two-stage combination; Character recognition; Computer science; Databases; Feature extraction; Handwriting recognition; Image coding; Image recognition; Neural networks; Pixel; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.547631
Filename :
547631
Link To Document :
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