DocumentCode
2810254
Title
Information fusion by fuzzy integral
Author
Pham, Tuan D. ; Yan, Hong
Author_Institution
Dept. of Electr. Eng., Sydney Univ., NSW, Australia
fYear
1996
fDate
18-20 Nov 1996
Firstpage
191
Lastpage
194
Abstract
A fusion of numerical results obtained from multiple classifiers is proposed herein using an aggregation technique based on the fuzzy integral. Experimental results on the fusion of handwritten numeral recognition results show that the performance of this multi-classifier fusion method outperforms that of other conventional classifier-combination techniques
Keywords
fuzzy logic; handwriting recognition; sensor fusion; aggregation technique; fuzzy integral; handwritten numeral recognition; information fusion; multi-classifier fusion method; multiple classifiers; Australia; Character recognition; Density measurement; Fuzzy set theory; Fuzzy sets; Handwriting recognition; Image analysis; Pattern recognition; Robots; Sensor fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Systems, 1996., Australian and New Zealand Conference on
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-3667-4
Type
conf
DOI
10.1109/ANZIIS.1996.573930
Filename
573930
Link To Document