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A novel fingerprint matching algorithm using ridge curvature feature

  • Peng Li
  • , Xin Yang
  • , Qi Su
  • , Yangyang Zhang
  • , Jie Tian*
  • *此作品的通讯作者
  • CAS - Institute of Automation

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Fingerprint matching based on solely minutiae feature ignore the abundant ridge information in fingerprint images. We propose a novel fingerprint matching algorithm which integrates minutiae feature with ridge curvature map(RCM). The RCM is approximated by a polynomial model which is computed by Least Square(LS) method. In the matching stage, phase-only correlation matching method is employed to match two RCMs. Then sum fusion rule is selected to combine the minutiae matching score and the RCM matching score. Experiments conducted on FVC2002 and FVC2004 databases show that proposed algorithm can obtain more promising performance than solely minutiae- based algorithm and several other multi-feature fusion algorithms.

源语言英语
主期刊名Advances in Biometrics - Third International Conference, ICB 2009, Proceedings
出版商Springer Verlag
607-616
页数10
ISBN(印刷版)3642017924, 9783642017926
DOI
出版状态已出版 - 2009
已对外发布
活动3rd IAPR/IEEE International Conference on Advances in Biometrics, ICB 2009 - Alghero, 意大利
期限: 2 6月 20095 6月 2009

丛书

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5558 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议3rd IAPR/IEEE International Conference on Advances in Biometrics, ICB 2009
国家/地区意大利
Alghero
时期2/06/095/06/09

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