期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：10
页码：71-80
DOI：10.14257/ijsip.2015.8.10.08
出版社：SERSC
摘要：Local Graph Structure (LGS) and its variation Symmetric Local Graph Structure (SLGS) have been proven to be effective for image recognition. However, they have shortcomings without considering the contribution of the difference between the target pixel and the surrounding pixels, and the difference between surrounding pixels to the feature value of the target pixel. To overcome the shortcomings of the traditional methods, this paper proposes a Difference Symmetric Local Graph Structure (DSLGS) algorithm for finger vein recognition. The DSLGS operator considers the contribution of different value to the feature of target pixel, making the extracted feature more stable. The experiment results show that the proposed algorithm has better performances than the traditional methods, such as Local Binary Pattern (LBP), LGS, SLGS and so on
关键词：Biometrics; Finger Vein; Difference Symmetric Local Graph Structure; ; Symmetric Local Graph Structure; Local Graph Structure
