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[5] SONG Haifeng, CHEN Guangsheng, WEI Hairong, et al. The improved (2D)2 PCA algorithm and its parallel imple￾mentation based on image block[J]. Microprocessors and microsystems, 2016, 47: 170–177. [6] BHAT F A, WANI M A. Gabor wavelet based face recogni￾tion under varying lighting, pose and expression conditions [C]//Proceedings of the 2nd International Conference on Computing for Sustainable Global Development. New Del￾hi, Indi, 2015: 1314–1318. [7] GAO Xiaojing, XUE Heru, PAN Xin, et al. Mongolia na￾tionality face recognition based on G(2D)2PCA and SVM Classification[C]//Proceedings of the 4th International Con￾ference on Information Science and Control Engineering. Changsha, China, 2017: 461–465.) [8] 殷俊, 孙仕亮. 基于最近正交矩阵的二维鉴别投影及人脸 识别应用[J]. 计算机辅助设计与图形学学报, 2017, 29(8): 1457–1464. YIN Jun, SUN Shiliang. Two dimensional discriminative projection based on nearest orthogonal matrix and its applic￾ation to face recognition[J]. Journal of computer-aided design & computer graphics, 2017, 29(8): 1457–1464. [9] DENG Weihong, HU Jiani, LU Jiwen, et al. Transform-in￾variant PCA: A unified approach to fully automatic face￾Alignment, representation, and recognition[J]. IEEE Trans￾actions on pattern analysis and machine intelligence, 2014, 36(6): 1275–1284. [10] CHEN Yefei, SU Jianbo. Sparse embedded dictionary learning on face recognition[J]. Pattern recognition, 2017, 64: 51–59. [11] 何林巍, 黄福珍. 基于 POEM_SLPP 的人脸识别算法[J]. 计算机应用研究, 2017, 34(6): 1896–1899. [12] HE Linwei, HUANG Fuzhen. Face recognition algorithm based on POEM_SLPP[J]. Application research of com￾puters, 2017, 34(6): 1896–1899. CHEN Zhanwei, HUANG Wei, LV Zhihan. Towards a face recognition method based on uncorrelated discrimin￾ant sparse preserving projection[J]. Multimedia tools and applications, 2017, 76(17): 17669–17683. [13] Lu J, Liong V E, Wang G, et al. Joint feature learning for face recognition[J]. IEEE transactions on information forensics and security, 2017, 10(7): 1371–1383. [14] GUO Shanshan, CHEN Shiyu, LI Yanjie. Face recognition based on convolutional neural network and support vector machine[C]//Proceedings of IEEE International Confer￾ence on Information and Automation. Ningbo, China, 2017: 1787–1792. [15] DING Changxing, CHOI J, TAO Dacheng, et al. Multi-dir￾ectional multi-level dual-cross patterns for robust face re￾cognition[J]. IEEE transactions on pattern analysis and ma￾chine intelligence, 2016, 38(3): 518–531. [16] DA MARSICO M, NAPPI M, RICCIO D, et al. Robust face recognition for uncontrolled pose and illumination changes[J]. IEEE transactions on systems, man, and cyber￾netics: systems, 2012, 43(1): 149–163. [17] KUSUMA G P, CHUA C S. PCA-based image recombina￾tion for multimodal 2D + 3D face recognition[J]. Image and vision computing, 2011, 29(5): 306–316. [18] BENGHERABI M, MEZAI L, HARIZI F. 2DPCA-based techniques in DCT domain for face recognition[J]. Interna￾tional journal of intelligent systems technologies and ap￾plications, 2009, 7(3): 243–265. [19] FANG Bingwu, HUANG Zhiqiu, LI Yong, et al. υ-Sup￾port vector machine based on discriminant sparse neighbor￾hood preserving embedding[J]. Pattern analysis and applic￾ations, 2017, 20(4): 1077–1089. [20] BENGIO Y. Learning deep architectures for AI[J]. Found￾ations and trends in machine learning, 2009, 2(1): 1–127. [21] 作者简介： 伊力哈木 · 亚尔买买提，男， 1978 年生，副教授，主要研究方向为 图像处理、模式识别。主持参与国家 自然科学基金项目 5 项，发表核心学 术论文数十篇。 ·436· 智 能 系 统 学 报 第 13 卷