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
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