Abstract:A method for infrared face recognition is proposed based on principal component analysis (PCA) and linear discriminant analysis (LDA). According to the characteristics of infrared face images, a set of normalized infrared face images is gotten by preprocessing. The dimensionality of the image vector is reduced and the global features are extracted. The global features are used to generate a classifier which can minimize the withinclass scatter and maximize the betweenclass scatter. Finally, an infrared face recognition experiment based on the combination of PCA and LDA is performed and the results show the high performance of the proposed method.
[1] Kong S G, Heo J, Abidi B R, et al. Recent Advances in Visual and Infrared Face Recognition-A Review. Computer Vision and Image Understanding, 2005, 19(1): 103135 [2] Chen Xin, Flynn P J, Bowyer K W. PCABased Face Recognition in Infrared Imagery: Baseline and Comparative Studies // Proc of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures. Nice, France, 2003: 127134 [3] Socolinsky D A, Selinger A. A Comparative Analysis of Face Recognition Performance with Visible and Thermal Infrared Imagery // Proc of the 16th International Conference on Pattern Recognition. Quebec, Canada, 2002, Ⅳ: 217222 [4] Selinger A, Socolinsky D A. AppearanceBased Facial Recognition Using Visible and Thermal Imagery: A Comparative Study. Technical Report, 0201, New York, USA: Equinox Corporation, 2001 [5] Li Jiang, Yu Wenxian, Kuang Gangyao, et al. Research on Face Recognition Approaches of Infrared Image. Journal of National University of Defense Technology, 2006, 28(2): 7376 (in Chinese) (李 江,郁文贤,匡刚要,等.红外图像人脸识别方法.国防科技大学学报, 2006, 28(2): 7376) [6] Wilder J, Phillips P J, Jiang C H, et al. Comparison of Visible and Infrared Imagery for Face Recognition // Proc of the 2nd International Conference on Automatic Face and Gesture Recognition. Killington, USA, 1996: 182187 [7] Li Junmei, Hu Yihua. Research on Principal Component Analysis in Choosing Target Category Feature and Its Application to Target Recognition. Pattern Recognition and Artificial Intelligence, 2006, 19(1): 106110 (in Chinese) (李军梅,胡以华.目标类特征确定中的主成分分析法研究及在目标识别中的应用.模式识别与人工智能, 2006, 19(1): 106110) [8] Wang Yunhong, Fan Wei, Tan Tieniu. Face Recognition Based on Information Fusion. Chinese Journal of Computers, 2005, 28(10): 16571663 (in Chinese) (王蕴红,范 伟,谭铁牛.融合全局与局部特征的子空间人脸识别算法.计算机学报, 2005, 28(10): 16571663) [9] Gyaourova A, Bebis G, Pavlidis I. Fusion of Infrared and Visible Images for Face Recognition // Proc of the 8th European Conference on Computer Vision. Prague, Czech Republic, 2004: 456468 [10] Long Fei, Zhuang Liansheng, Zhuang Zhenquan. Face Recognition by 2D Wavelet Decomposition and Fisher Discriminant Analysis. Pattern Recognition and Artificial Intelligence, 2005, 18(2): 223227 (in Chinese) (龙 飞,庄连生,庄镇泉.基于小波变换和Fisher判别分析的人脸识别方法.模式识别与人工智能, 2005, 18(2): 223227) [11] Equinox Corporation. Human Identification at a Distance [DB/OL]. [20010101]. http://www.equinoxsensors.com/products/HID.html