A TSVM-Based minutiae matching approach for fingerprint verification

  • Authors:
  • Jia Jia;Lianhong Cai

  • Affiliations:
  • Ministry of Education, Key Laboratory of Pervasive Computing (Tsinghua University), Beijing, P.R. China;Ministry of Education, Key Laboratory of Pervasive Computing (Tsinghua University), Beijing, P.R. China

  • Venue:
  • IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
  • Year:
  • 2005

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Abstract

This paper introduces Transductive Support Vector Machine (TSVM) into fingerprint verification. An improved fingerprint matching approach using TSVM is presented. In the proposed approach, the traditional minutiae-based fingerprint matching task is transformed to a classification task using TSVM. The paper presents an analysis of why TSVM are well suited for fingerprint matching, especially for small training sets. The approach is supported by experiments on five test collections, including both international and domestic fingerprint verification competition databases. Experimental results show that our approach is insensitive to noise as well as with effective performance.