A study of minutiae matching algorithm based on orientation validation

  • Authors:
  • Zhongchao Shi;Jin Qi;Xuying Zhao;Yangsheng Wang

  • Affiliations:
  • Institute of Automation, Chinese Academy of Sciences, Bei Jing, China;Institute of Automation, Chinese Academy of Sciences, Bei Jing, China;Institute of Automation, Chinese Academy of Sciences, Bei Jing, China;Institute of Automation, Chinese Academy of Sciences, Bei Jing, China

  • Venue:
  • SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
  • Year:
  • 2004

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Abstract

In this paper, we promote a new fingerprint minutia matching algorithm based on orientation validation Firstly, we use 1 Nearest Neighbor of the minutiae local structure to find some corresponding point pairs and get the best one by clustering Secondly, A structure matching algorithm is used to match the global minutiae, and a matching table is used to avoid multi-minutiae match to one minutia and vice versa Moreover, we promote a new decision method based on orientation validation, and a new rule is proposed to make the final judgment Finally, the experimental results conducted in DB3, from FVC2002, show that the performance of our algorithm is good.