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International Workshop on Biometric Person Authentication

IWBRS 2005: Advances in Biometric Person Authentication pp 85–94Cite as

A TSVM-Based Minutiae Matching Approach for Fingerprint Verification

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3781))

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.

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References

  1. Newham, E.: The Biometric Report. SJB Services, New York (1995)

    Google Scholar 

  2. Lin, H., Wang, Y.F., Anil, J.: Fingerprint Image Enhancement: Algorithm and Performance Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(8) (1998)

    Google Scholar 

  3. Wang, C.W., Li, J.W.: Fingerprint Identification Using Point Pattern Matching. Journal of Chongqing University (Natural Science Edition) 25(6) (2002)

    Google Scholar 

  4. Ross, A., Anil, J.: A Hybrid Fingerprint Matcher. Pattern Recognition 36, 1661–1673 (2003)

    Article  Google Scholar 

  5. Anil, J., Lin, H.: On-line fingerprint verification. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(4), 302–314 (1997)

    Article  Google Scholar 

  6. Anil, J., Ross, A., Prabhakar, S.: Fingerprint Matching using Minutiae and Texture Features. In: International Conference on Image Processing (ICIP) Thessaloniki, Greece, pp. 282–285 (2001)

    Google Scholar 

  7. Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines. Cambridge University Press, Cambridge (2000)

    Google Scholar 

  8. Yuan, Y., Paolo, F., Massimiliano, P.: Fingerprint Classification with Combinations of Support Vector Machines. In: Bigun, J., Smeraldi, F. (eds.) AVBPA 2001. LNCS, vol. 2091, pp. 253–258. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  9. Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer, Heidelberg (2000)

    MATH  Google Scholar 

  10. Joachims, T.: Transductive Inference for Text Classification using Support Vector Machines. In: Proceedings of the 16th International Conference on Machine Learning (ICML). Bled, Slovenia, pp. 200–209 (1999)

    Google Scholar 

  11. Xiao, Q., Raafat, H.: Pattern Recognition 24(10), 985–992 (1991)

    Article  Google Scholar 

  12. Kasaei, S., Deriche., M.: Fingerprint Feature Extraction Using Block-Direction on Reconstructed Images. Journal of Speech and Image Technologies for Computing and Telecommunications, IEEE Tencon. (1997)

    Google Scholar 

  13. Zhang, D., Lee, W.S.: Web Taxonomy Integration using Support Vector Machines. In: Proceedings of WWW 2004, New York, USA. ACM 1-58113-844-X/04/0005

    Google Scholar 

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Author information

Authors and Affiliations

  1. Ministry of Education, Key Laboratory of Pervasive Computing (Tsinghua University), Beijing, 100084, P.R. China

    Jia Jia & Lianhong Cai

Authors
  1. Jia Jia
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  2. Lianhong Cai
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences,  

    Stan Z. Li

  2. National Laboratory of Pattern Recognition, Institute of Automation, CAS,  

    Zhenan Sun

  3. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  4. Exploratory Computer Vision Group, IBM T.J. Watson Research Center, 10598, Yorktown Heights, NY

    Sharath Pankanti

  5. CNRS LTCI/TSI Paris, 46 rue Barrault, 75634, Paris Cedex 13, France

    Gérard Chollet

  6. Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong

    David Zhang

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Jia, J., Cai, L. (2005). A TSVM-Based Minutiae Matching Approach for Fingerprint Verification. In: Li, S.Z., Sun, Z., Tan, T., Pankanti, S., Chollet, G., Zhang, D. (eds) Advances in Biometric Person Authentication. IWBRS 2005. Lecture Notes in Computer Science, vol 3781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569947_11

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  • DOI: https://doi.org/10.1007/11569947_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29431-3

  • Online ISBN: 978-3-540-32248-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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