文章基本信息

标题：Vein Recognition Based on (2D)2FPCA
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作者：Jun Wang ; Hanjun Li ; Guoqing Wang 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：2013
卷号：6
期号：4
出版社：SERSC
摘要：The importance of biometric identification technology in the field of information security is increasingly prominent, in various of recognition technology, hand vein recognition technology attracts more and more researchers’ attentions because of its high security and high recognition rate; The traditional template matching method based on vein skeletal morphology inevitably brings about problems such as long training time and too much space occupation of sample storage; the passage applies feature extraction method based on the subspace to the vein recognition on the basis of analysis of the principal component analysis method, which is called (2D)2FPCA algorithm combining the traditional 2DPCA and 2DFLD technology; the new algorithm has many advantages including reduction of the preprocessing algorithm steps and small space occupation of characteristics vectors with high processing speed; Finally, simulation experiments with the new algorithm are carried out in 500 vein image database, which proves that the method not only has better recognition accuracy but also improves the recognition rate while reducing the storage space.
关键词：The hand vein; The principal component analysis method; Fisher linear transform ;The recognition rate ; Feature matching