A new approach for face recognition based on SGFS and SVM

2007 1st International Conference on Bioinformatics and Biomedical Engineering, ICBBE

Volumn , Issue , 2007, Pages 527-530

  Li, Wang ^a   Yunlian, Sun ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Face recognition; Feature fusion; SGFS; SVM

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE FUSION; MATRIX ALGEBRA; SUPPORT VECTOR MACHINES;

FEATURE MATRICES; GABOR FEATURE; SVM CLASSIFIERS;

FACE RECOGNITION;

EID: 35348905571     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBBE.2007.138     Document Type: Conference Paper

References (11)

1. LIU Dang-hui, SHEN Lan-sun, "Face Recognition: A Survey," Journal of Circuits and Systems, vol.9 (1), pp.85-94, 2004.
2. Lades M., et al, "Distortion Invariant Object Recognition in the Dynamic Link Architecture," IEEE Trans. on Computers, vol.42 (3), pp.300-310, 1993.
3. Wiskott L., et al, "Face Recognition by Elastic Bunch Graph Matching," Intelligent Biometric Techniques in Fingerprint and Face Recognition, Boca Raton: CRC Press, 1999, pp.355-396.
4. LIU Cheng-jun, Harry Wechsler, "Independent Component Analysis of Gabor Features for Face Recognition," IEEE Trans. On Neural Networks, vol. 14(4), pp.919-928, 2003.
5. QIN Jun, HE Zhong-Shi, "A SVM Face Recognition Method based on Gabor-Featured Key Points," Proceedings of the Fourth Int. Conf. on Machine Learning and Cybernetics, 2005, pp.5144-5149
6. J. K. Kamarainen, V. Kyrki, H. Kälviäinen, "Fundamental Freq- uency Gabor Filters for Object Recognition," In: Proceedings of the 16th International Conf. on Pattern Recognition, 2002, pp.628-631.
7. V. Kyrki, J. K. Kamarainen, H. Kälviäinen, "Simple Gabor Feature Space for Invariant Object Recognition," Pattern Recognition Letter, vol. 25(3), pp. 311-318, 2003.
8. Wan Feng, Du Ming-hui, "Face Recognition Using Gabor Feature with Small Samples," Journal of Computer-aided Design & Computer Graphics, vol. 17(2), pp. 197-201, 2005.
9. Vapnik V., Statistical Learning Theory. Wiley & Sons Inc, New York, 1998.
10. CUI Guo-qin, GAO Wen, "Face Recognition Based on Two- Layer Generated Virtual Data for SVM," Chinese Journal of computers, vol. 28(3), pp. 368-376, 2005.
11. GU Hua, SU Guang-da, DU Cheng, "Automatic Localization of the Vital Feature Points on Human Faces," Journal of Optoelec- tronics • Laser, vol. 15(8), pp. 975-979, 2005.