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