Authorization based on palmprint

  • Authors:
  • Xiao-yong Wei;Dan Xu;Guo-wu Yuan

  • Affiliations:
  • Department of Computer Science, Information School, Yunnan University, Yunnan, China;Department of Computer Science, Information School, Yunnan University, Yunnan, China;Department of Computer Science, Information School, Yunnan University, Yunnan, China

  • Venue:
  • ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
  • Year:
  • 2005

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Abstract

In this paper, palmprint features were classified into Local Features and Global Features. Based on this definition, we discussed the advantage and weakness of each kind of features and presented a new palmprint identification algorithm using combination features. In this algorithm, a new method for capturing the key points of hand geometry was proposed. Then we described our new method of palmprint feature extracting. This method considered both the global feature and local detail of a palmprint texture and proposed a new kind of palmprint feature. The experimental results demonstrated the effectiveness and accuracy of these proposed methods.