吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (3): 874-881.doi: 10.13229/j.cnki.jdxbgxb201403047

• Orignal Article • Previous Articles     Next Articles

Mining and applying unmatched minutiae information in fingerprint recognition

LI Tian-ping1,LI Ya-shuo2,WANG Shuai-qiang3,ZHANG Qing2,YIN Yi-long2,REN Chun-xiao2   

  1. 1.College of Physics and Electronics, Shandong Normal University, Jinan 250014, China 2.School of Computer Science and Technology, Shandong University, Jinan 250101, China 3.School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, China
  • Received:2013-11-05 Online:2014-03-01 Published:2014-03-01

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Abstract:

Defines and extracts minutiae ratio, tight pair-wise prototype distance, grid set distance, and Housdorff distance from minutiae as four auxiliary features. Fingerprint recognition is realized by fusing with an existed minutiae based matching method at the score level. Experiment results on databases of FVC2000, FVC2002 and FVC2004 for international fingerprint verification competition indicate that fused with the discriminating information of the unmatched minutiae, the performance of the fingerprint system is noticeably promoted. The results also verify that unmatched minutiae truly contain discriminating information.

Key words: information processing, fingerprint recognition, unmatched minutiae, score level fusion

CLC Number: 

  • TP391.41
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