1Li S Z,Chu R,Liao S,et al. Illumination invariant face recognition using n-ear infrared images [J].IEEE Transaction on Pattern Analysis and Machine Intel-ligence. 2007,29 ( 4 ) : 627- 639.
2Tan Xiaoyang, Triggs B. Enhanced Local Texture Fea- ture Sets for Face Recognition Under Difficult Lighting Conditions [J]. IEEE Transactions on Image Processing, 2010, 19(6): 1635-1650.
3Z. Liu and C. Liu, "Fusion of color, local spatial and global frequency information for face recognition," Pattern Recognit. , vol. 43, no. 8, pp.2882 2890, Aug. 2010.
4Marszalek M. Local Features and Kernels for Classifi- cation of Texture and Object Categories: A Compre- hensive Study [J ]. International Journal of Computer Vision, 2007, 73(2): 213-238.
5Rodriguez Y,Marcel S. Face authentication using adapted local binary pattern histograms [J]. ECCV,2006, (4) : 321- 332.
6P. H. Hennings-Yeomans, B. V. K. Vijaya Kumar, and S. Baker, Robust low-resolution face identification and verification using high-resolution features [C].// Proceedings of IEEE ICIP, 2009:33-36.
7Zhu Feng, Zhang Xianda, Hu Ya-feng. Gabor filter approach to joint feature extraction and target recogni-tion[J]. IEEE transactions on aerospace and electr-on- ic systems,2009,45 ( 1 ): 17-29.
8C. Jones and A. L. Abbott, " Color face recognition by hypercomplex gabor analysis," in Proc. IEEE Int. Conf. Autom. FGR, 2006, p. 131.
9T. Ahonen, A. Hadid, and M. Pietikainen. Face description with local binary pattern: Application to face recognition [J]. IEEE Trans. Pattern Anal. Maeh. Intell., 2006, 28 ( 12 ) :2037-2041.
10Ojala T, Pietikainen M, Maenpaa T. Multiresolution Gray-scale and Rotation-invariant Texture Classifi- cation with Local Binary Patterns [J]. IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 2002, 24(7)" 971-987.