DocumentCode
458792
Title
Face Recognition Based on Fuzzy Rough Set Reduction
Author
Zhou, Lifang ; Li, Weisheng ; Wu, Yu
Author_Institution
Inst. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun.
Volume
1
fYear
2006
fDate
9-11 Nov. 2006
Firstpage
642
Lastpage
646
Abstract
An attribute reduction method based on fuzzy rough set is applied for the result obtained by PCA method and the recognition process use neural network ensemble. The method avoids losing of information caused by dispersing before rough set attribute reduction. The reduction result can reflect the classification ability of the original information system completely. As a result, the recognition accuracy is improved. Meanwhile, computational complexity is reduced for the genetic algorithm
Keywords
computational complexity; face recognition; fuzzy set theory; genetic algorithms; principal component analysis; rough set theory; attribute reduction method; computational complexity; face recognition; fuzzy rough set reduction; genetic algorithm; neural network; principal component analysis; Computational complexity; Face recognition; Fuzzy neural networks; Fuzzy sets; Genetic algorithms; Image analysis; Information systems; Principal component analysis; Rough sets; Set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Hybrid Information Technology, 2006. ICHIT '06. International Conference on
Conference_Location
Cheju Island
Print_ISBN
0-7695-2674-8
Type
conf
DOI
10.1109/ICHIT.2006.253559
Filename
4021162
Link To Document