NDLI: Hand vein recognition based on multi-scale LBP and wavelet

Content Provider	IEEE Xplore Digital Library
Author	Yi-Ding Wang Qing-Yu Yan Ke-Feng Li
Copyright Year	2011
Description	Author affiliation: College of Information Engineering, North China University of Technology, Beijing, 100144, China (Yi-Ding Wang; Qing-Yu Yan; Ke-Feng Li)
Abstract	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.
Starting Page	214
Ending Page	218
File Size	489817
Page Count	5
File Format	PDF
ISBN	9781457702839
ISSN	21585695
e-ISBN	9781457702822
DOI	10.1109/ICWAPR.2011.6014480
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet Databases Veins Conferences Feature extraction Wavelet analysis Pattern recognition Hand Vein Multi-scale LBP Matrix decomposition
Content Type	Text
Resource Type	Article

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