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
[1] He X, Tian J, Li L,et al. Modeling and analysis of local comprehensive minutia relation for fingerprint matching[J]. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics,2007,37(5):1204-1211.
[2] Feng J. Combining minutiae descriptors for fingerprint matching[J]. Pattern Recognition,2008, 41(1):342-352.
[3] Chen F, Zhou J, Yang C. Reconstructing orientation field from fingerprint minutiae to improve minutiae matching accuracy[J]. IEEE Transactions on Image Processing,2009,18(7):1665-1670.
[4] Jain A K, Feng J. Latent fingerprint matching[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(1): 88-100.
[5] Cao K, Yang X, Chen X, et al. A novel global feature for minutiae-based fingerprint matching[J]. Pattern Recognition Letters, 2012, 33(10):1411-1421.
[6] Paulino A A, Feng J, Jain A K. Latent fingerprint matching using descriptor-based hough transform[J]. IEEE Transactions on Information Forensic and Security,2013,8(1):31-45.
[7] Zhao Q, Zhang Y, Jain A K, et al. A Generative model for fingerprint minutiae[C]∥In Proc International Conference on Biometrics (ICB), Madrid, Spain, 2013:1-8.
[8] Wand Y L, Ning X, Yin Y.A new fingerprint matching algorithm[J]. Journal of Image and Graphics,2003,8(2):203-208.
[9] Feng J, Ouyang Z, Cai A. Fingerprint matching using ridges[J]. Pattern Recognition,2006,39(1):2131-2140.
[10] Jain A K, Prabhakar S, Hong L, et al. Filterbank-based fingerprint matching[J]. IEEE Transactions on Image Processing, 2000, 9(5):846-895.
[11] Yang J C, Park D S. A fingerprint verification algorithm using tessellated invariant moment features[J]. Neurocomputing,2008,71(10-12):1939-1946.
[12] Queka C, Tana K B, Sagarb V K.Pseudo-outer product based fuzzy neural network fingerprint verification system [J].Neural Networks,2001,14(3):305-323.
[13] Labati R D, Genovese A, Piuri V,et al. Contactless fingerprint recognition: A neural approach for perspective and rotation effects reduction[C]∥IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM),Singapore,2013:22-30.
[14] Huttenlocher D P, Klanderman G A, Rucklidge W J. Comparing images using the Hausdorff distance[J]. IEEE Trans Pattern Anal Mach Intell, 1993,15(9):850-863.
[15] Ren C, Yin Y, Ma J, et al. A novel method of score level fusion using multiple impressions for fingerprint verification[C]∥IEEE Conference on System, Man and Cybernetics Society (SMCS), San Antonio, TX,2009:5196-5201.
[16] Ross A, Jain A K, Reisman J.A hybrid fingerprint matcher[J]. Pattern Recognition, 2003,36(7):1661-1673.
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