DocumentCode :
1742988
Title :
Application of fuzzy integrals in fusion of classifiers for low error rate handwritten numerals recognition
Author :
Beiraghi, S. ; Ahmadi, M. ; Shridhar, M. ; Ahmed, M. Sid
Author_Institution :
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
487
Abstract :
This paper presents application of fusion techniques in a handwritten numeral recognition. The authors present two methods of fusing classifiers based on the fuzzy integral for handwritten numeral recognition. We also demonstrate that modification of fuzzy density calculation will result in better recognition rate. Test conducted on a large set of handwritten numeral data yielded high recognition rate with the proposed technique
Keywords :
fuzzy set theory; handwritten character recognition; integration; pattern classification; classifier fusion; fuzzy density calculation; fuzzy integrals; low error rate handwritten numeral recognition; Artificial neural networks; Character recognition; Density measurement; Error analysis; Event detection; Feature extraction; Fires; Handwriting recognition; Pattern recognition; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.906118
Filename :
906118
Link To Document :
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