HAND VEIN RECOGNITION BASED ON MULTI-SCALE LBP AND WAVELET
This paper proposes a novel approach to extract multi-scale LBP features of hand vein images.Local Binary Patterns (LBP) is a simple but efficient texture operator for hand vein images.However there are two big limitations of LBP.One is that it only covers a small neighborhood area and gets very limited local information.The other is some non-uniform information will be lost as uniform patterns is adopted.To solve these problems,the hand vein image is decomposed with two-level wavelet,and gets 8 coefficient matrices:A1,H1,V1,D1,A2,H2,V2 and D2.In order to obtain the weight of each sub-band,the recognition accuracy of each sub-band is calculated by original LBP based on Euclidean Distance.In consideration of the direction of hand vein images,two diagonal high frequency components,D1 and D2,are abandoned.Meanwhile,A1,H1,V1,A2,H2,V2 and the original image are chosen as multi-scale components.Finally all LBP features of components are fused.Experimental results on a database of 2040 images show that the proposed method outperforms original LBP and traditional multi-scale LBP.
Hand Vein Multi-scale LBP Wavelet
YI-DING WANG QING-YU YAN KE-FENG LI
College of Information Engineering, North China University of Technology, Beijing, 100144, China
国际会议
2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)
桂林
英文
214-218
2011-07-10（万方平台首次上网日期，不代表论文的发表时间）