Face Recognition Using Global Gabor Filter in Small Sample Case *

Transcription

1 ISSN CODEN JKYTA8 Journal of Frontiers of Computer Science and Technology /2010/04(05) Tel: DOI: /j.issn Gabor * +,,,, Face Recognition Using Global Gabor Filter in Small Sample Case * LI Kuan +, YIN Jianping, LI Yong, ZHAN Yubin School of Computer Science, National University of Defense Technology, Changsha , China + Corresponding author: likuan@nudt.edu.cn LI Kuan, YIN Jianping, LI Yong, et al. Face recognition using global Gabor filter in small sample case. Journal of Frontiers of Computer Science and Technology, 2010, 4(5): Abstract: Although progress in face recognition has been encouraged in constraint conditions, many problems still exist in unconstraint tasks. Also, it is not easy to collect a large number of face samples of each people. To solve the problems above, the task of face recognition with a small number of training images of each people is considered. A new feature extraction method is proposed based on Gabor filter. Experiments in small sample case are carried out under JAFFE and ORL dataset. The result and analysis verify the validity and robustness of proposed method. Key words: face recognition; unconstrain tasks; Gabor filter; mean; variance, ;,,, Gabor, / JAFFE ORL, *The National Natural Science Foundation of China under Grant No , ( ); the Foundation for the Author of National Excellent Doctoral Dissertation under Grant No. 2007B4 ( ); the Scientific Research Fund of Hunan Provincial Education ( ). Received , Accepted

2 Gabor 421, ; ; Gabor ; ; A TP ,, [1] ( ) [2],,,,,,, [3 4], (,, ),, 3~5,,,, [4] (1),, ; (2), ; (3),, Gabor,,, JAFFE ORL, k-,,, 2 Gabor [5],, Correlation Fisher, Gabor, Gabor 2.1 Gabor Gabor,, [6], Gabor,,, Gabor, Gabor [7]

3 422 Journal of Frontiers of Computer Science and Technology 2010, 4(5) k j ψ ( ) exp kj x j x = 2 2 σ 2σ (1) 2 σ exp(i k ) exp j x 2, i, x = (x,y), σ Gabor, σ = 2π, k j, k j = k (cos φ,sin φ) v ( v+ 2)/2 T, k v = 2 π, φ 2.2,,, , ,, [8], Gabor, 5 8 Gabor, = ,, PCA LDA Gabor,, [4], ( ),, 3 (1) Gabor ; (2), Gabor,,,, ; (3) ( 3, ) ( v = 0,1,2,3,4 ), 8 ( φ = π π,, 8 4 3π π 5π 3π 7π,,,,,π ) Gabor, j Gabor ψ j ( j 1~40, ) G ψ ( x)* I( x) ψ ( x) I( x )dxdy (2) = = j j j, I(x) (m,n), χ ( mn, ) = ( G, G, G,..., G ) , Gabor Gi, i= 1,2,...,40 μ i δ i, FV FV = ( μ, δ, μ, δ,..., μ, δ ) (3) (3) ,, i j, FV i FV j 80, d ij 80 i j k k = FV FV k= 1 α( k ) FV, α( ) 2 T T d ij (4)

4 Gabor 423 Fig.1 1 Sample pictures from two face databases (left: JAFFE, right: ORL) ( JAFFE, ORL ) 4 JAFFE ORL, 1 JAFFE , 7 ( ), 2~4, ORL 40, 10, ,, ( /, ) (1) (2) Gabor, (4) α() (3), 80, k-, (4), 1~ 3 1- ( ), JAFFE 1, 20, 85%, ORL Table 1 Results of 1-NN on JAFFE database 1 JAFFE 1- /(%) Table 2 Results of 1-NN on ORL database 2 ORL 1- /(%) Table 3 Results of 7-NN on ORL database 3 ORL 7- /(%) JAFFE,,,,

5 424 Journal of Frontiers of Computer Science and Technology 2010, 4(5), Gabor, ORL, /, ;, JAFFE ( ) 64 64,, ;,, ; ( ),,,,, 1-, [9] 3, 7-,,,, 7-9, 1 JAFFE 100%, ORL 96.2%,, 5, Gabor, JAFFE ORL, k-, Gabor ; Gabor, References: [1] Zhao W, Chellappa R, Rosenfeld A, et al. Face recognition: A literature survey[j].acm Computing Surveys, 2003, 35(4): [2] Li S Z, Jain A K. Handbook of face recognition[m]. [S.l.]: Springer-Verlag, 2005: [3] Phillips P J, Flynn P J, Scruggs T, et al. Overview of the face recognition grand challenge[c]//proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, [4] Zhang Wenchao, Shan Shiguang, Zhang Hongming, et al. Histogram sequence of local gabor binary pattern for face description and identification[j].journal of Software, 2006, 17(12): [5] Li Wujun, Wang Chongjun, Zhang Wei, et al. A survey of recognition [J].Pattern Recognition and Artificial Intelligence, 2006, 19(1): [6] Movellan J R. Tutorial on Gabor filters[r].mplab Tutorials, UCSD, [7] Huang X S, Li S Z, Wang Y S. Shape localization based on statistical method using extended local binary pattern[c]//proc of the Intl Conf on Image and Graphics, Hong Kong, [8] Guo Guodong, Dyer C R. Learning from examples in the small sample case: Face expression recognition[j].ieee Transactions on Systems, Man, and Cybernetics, 2005, 35(3): [9] Sun Jixiang. Modern pattern recognition[m]. 2nd ed. Beijing: Higher Education Press, 附中文参考文献 : [4],,,. Gabor

6 Gabor 425 [J]., 2006, 17(12): [5],,,. [J]., 2006, 19(1): [9]. [M]. 2. :, LI Kuan was born in He received his M.S. degree from National University of Defense Technology in He is now a Ph.D. candidate at the National University of Defense Technology. His research interests include pattern recognition and artificial intelligence, etc. (1984 ),,, 2007,,, YIN Jianping was born in He received his M.S. and Ph.D. degrees in Computer Science from the National University of Defense Technology in 1986 and 1990, respectively. He is a professor and doctoral supervisor at the National University of Defense Technology. His research interests include artificial intelligence, pattern recognition, algorithm design and information security, etc. (1963 ),,, ,,,,, LI Yong was born in He is a Ph.D. candidate at the National University of Defense Technology. His research interests include pattern recognition and artificial intelligence, etc. (1981 ),,,,, ZHAN Yubin was born in He is a Ph.D. candidate at the National University of Defense Technology. His research interests include machine learning and pattern recognition, etc. (1980 ),,,,,