Infrared face recognition using LBP and discrimination patterns
LBP与鉴别模式结合的热红外人脸识别

To extract the discriminant local structural features,an improved infrared face recognition method based on LBP discrimination patterns is proposed in this paper.In traditional uniform patterns of LBP,the most frequency pattern information in nature image is chosen for image recognition.However,the most frequency patterns are not most suitable for face recognition.Based on supervised learn idea,pattern selection algorithm is proposed to get the LBP patterns which are most suitable for infrared face recognition.To make full use of the space locations information,the partitioning and LBP histogram are applied to get final features.The experimental results demonstrate the infrared face recognition method based on LBP and discrimination patterns proposed outperforms the traditional methods based on LBP or PCA.