Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Study on Feature Extraction and Matching of Enhanced Dynamic Signature Verification

  • Kim Jin-Whan (School of Computer and Information Engineering Youngsan University) ;
  • Cho Hyuk-Gyn (School of Computer and Information Engineering Youngsan University) ;
  • Cha Eui-Young (Dept. of Computer Science Pusan National University)
  • Published : 2005.04.01
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Abstract

This paper is a research on feature extraction and comparison method of dynamic (on-line) signature verification. We suggest desirable feature information and modified DTW(Dynamic Time Warping) and describe the performance results of our enhanced dynamic signature verification system.

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