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.
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;
Conference_Titel :
Hybrid Information Technology, 2006. ICHIT '06. International Conference on
Conference_Location :
Cheju Island
Print_ISBN :
0-7695-2674-8
DOI :
10.1109/ICHIT.2006.253559
