%A YE Ziyun, YANG Jinfeng
%T A finger-vein recognition method based on weighted graph model
%0 Journal Article
%D 2018
%J Journal of Shandong University(Engineering Science)
%R 10.6040/j.issn.1672-3961.0.2017.467
%P 103-109
%V 48
%N 3
%U {http://gxbwk.njournal.sdu.edu.cn/CN/abstract/article_518.shtml}
%8 2018-06-20
%X A new weighted graph construction method was proposed for finger-vein network representation. For a weighted graph, its nodes and edges were respectively generated by dividing image into blocks and a triangulation algorithm, and the weights of edges were valued using the feature similarities between adjacent blocks. In this way, a finger-vein image could be represented by a weighted graph, and the adjacency matrix of this weighted graph was used for finger-vein recognition. The experiment results proved the effectiveness of the method, and some important factors that affected graph recognition results were discussed in detail.