文章基本信息

标题：Palm Vein Recognition Using Directional Features Derived from Local Binary Patterns
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作者：Wenjing Lu ; Meini Li ; Lei Zhang 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：5
页码：87-98
DOI：10.14257/ijsip.2016.9.5.09
出版社：SERSC
摘要：Vein-based biometrics is a newly developed technology for personal recognition, and it is widely used in practice and intensively studied. This paper proposes a method for palm vein recognition based on the directional information derived from local binary patters. In the proposed method, palm vein images are firstly enhanced using a multi-scale Gaussian matched filter to emphasize vein patterns before feature extraction. After that, local binary patterns are extracted from the enhanced palm vein images. Considering that the direction is the most discriminative feature of veins, the directional information is then computed from the local binary patterns. The computed palm vein features are represented as binary series, therefore, similarities can be computed efficiently by binary operation. Experiments carried out over the near infer-red band of the PolyU multispectral database shows the superiority of the proposed method on verification accuracy to some state-of-the-art literatures.
关键词：palm vein; Gaussian matched filter; local binary pattern; directional ; information