A NOVEL INFRARED FACE RECOGNITION BASED ON LOCAL BINARY PATTERN

摘要：

　　To extract the discrimination local structural features,an improved infrared face recognition method based on LBP is proposed in this paper.To get robust iocal features in infrared face,local binary pattern representation is applied to our method,instead of holistic feature extraction method.Based on the criterion of separability discriminant,pattern selection (PS) 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+PS proposed outperforms the traditional methods based on LBP or PCA+LDA.

关键词： Local Binary Pattern infrared face recognition pattern selection(PS) separability discriminant(SD)

作者: ZHI-HUA XIE JIE ZENG GUO-DONG LIU ZHI-JUN FANG

作者单位: Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Na Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Na School of information technology,Jiangxi University of Finance and Economics,Nanchang,Jiangxi,330013

会议类型: 国际会议

会议名称: 2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)

会议地点: 桂林

会议语种:英文

页码: 55-59

在线出版日期: 2011-07-10（万方平台首次上网日期，不代表论文的发表时间）