Title :
Face Recognition Based on Possibilistic Partition and Fuzzy Integral
Author :
Wang, Chanjuan ; Zhang, Qiang ; Wei, Xiaopeng ; Zhou, Changjun
Author_Institution :
Dalian Univ., Dalian
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;
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
DOI :
10.1109/ICNSC.2008.4525428
