Title :
Face recognition using multiple recognizers
Author :
Vatsa, Mayank ; Singh, Richa ; Gupta, P.
Author_Institution :
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kanpur, India
Abstract :
In this paper we have presented a fusion of three face recognizers, LFA, LBA and KDDA, which combines the three confidence measure factors (CMFs) using a RBF neural network. This strategy is used to increase the accuracy of the face recognition system. The recognizer is tested on AT&T-ORL, AR and IITK face database and the results are found to be more than 95%.
Keywords :
face recognition; feature extraction; radial basis function networks; RBF neural network; confidence measure factors; face recognition; kernel direct discriminant analysis; line based algorithm; local feature analysis; multiple recognizers; Algorithm design and analysis; Biometrics; Computer science; Face detection; Face recognition; Humans; Image analysis; Image databases; Layout; Testing;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1400652
