DocumentCode
3495929
Title
Face Recognition Based on Possibilistic Partition and Fuzzy Integral
Author
Wang, Chanjuan ; Zhang, Qiang ; Wei, Xiaopeng ; Zhou, Changjun
Author_Institution
Dalian Univ., Dalian
fYear
2008
fDate
6-8 April 2008
Firstpage
1353
Lastpage
1357
Abstract
Aiming at the characters of possibilistic partition and ICA (independent component analysis), a new algorithm by using PCV (Possibilistic C-Varieties) to preprocess and partition the data simultaneously is given in this paper. In addition, the recognition rate is improved by fuzzy integral, which fuses the features of multi-information-sources to achieve the optimal match between personal expectation and impersonal evidence. The computer simulation illustrates the effectivity of this method on the ORL database.
Keywords
fuzzy set theory; pattern recognition; possibility theory; face recognition; fuzzy integral; impersonal evidence; independent component analysis; multiinformation sources; personal expectation; possibilistic c-varieties; possibilistic partition; Clustering algorithms; Data mining; Face recognition; Feature extraction; Fuses; Fuzzy sets; Independent component analysis; Partitioning algorithms; Principal component analysis; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-1685-1
Electronic_ISBN
978-1-4244-1686-8
Type
conf
DOI
10.1109/ICNSC.2008.4525428
Filename
4525428
Link To Document