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  • 标题:Vascular Pattern Analysis towards Pervasive Palm Vein Authentication
  • 作者:Debnath Bhattacharyya ; Poulami Das ; Tai-hoon Kim
  • 期刊名称:Journal of Universal Computer Science
  • 印刷版ISSN:0948-6968
  • 出版年度:2009
  • 卷号:15
  • 期号:5
  • 页码:1081-1089
  • 出版社:Graz University of Technology and Know-Center
  • 摘要:In this paper we propose an Image Analysis technique for Vascular Pattern of Hand Palm, which in turn leads towards Palm Vein Authentication of an individual. Near-Infrared Image of Palm Vein pattern is taken and passed through three different processes or algorithms to process the Infrared Image in such a way that the future authentication can be done accurately or almost exactly. These three different processes are: a. Vascular Pattern Marker Algorithm (VPMA); b. Vascular Pattern Extractor Algorithm (VPEA); and c. Vascular Pattern Thinning Algorithm (VPTA). The resultant Images will be stored in a Database, as the vascular patterns are unique to each individual, so future authentication can be done by comparing the pattern of veins in the palm of a person being authenticated with a pattern stored in a database.
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