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Fingerprint Matching, Automatic

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  • First Online:
Encyclopedia of Biometrics

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Synonyms

Automatic; Fingerprint comparing

Definition

In contrast to manual fingerprint matching, automatic fingerprint matching can be efficiently operated on a computing machine following a series of preset procedures. Automatic matching compares two given fingerprint templates (raw images or extracted features) and returns their similarity score (in a continuous range) or a binary decision (matched/non-matched).

Introduction

With the increasing expansion of large-scale databases, manual fingerprint matching cannot satisfy the demand of efficiency in many applications. Automatic fingerprint matching simulates how human experts compare the fingerprints to measure the similarity between two given fingerprint templates or to determine whether they come from the same finger [1]. For most fingerprint matching procedures, experts calculate the similarity score of two templates and give the final judgment with a preset threshold. If the score exceeds the threshold, the compared templates...

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References

  1. D. Maltoni, D. Maio, A.K. Jain, S. Prabhakar, Handbook of Fingerprint Recognition (Springer, Berlin, 2003)

    MATH  Google Scholar 

  2. X.J. Chen, J. Tian, X. Yang, An algorithm for distorted fingerprint matching based on local triangle features set. IEEE Trans. Inform. Forensics Secur. 1(2), 169–177 (2006)

    Google Scholar 

  3. A. Ross, A.K. Jain, Biometric sensor interoperability: a case study in fingerprints, in BioAW 2004, Prague. LNCS, vol. 3087 (2004), pp. 134–145

    Google Scholar 

  4. A.M. Bazen, S.H. Gerez, An intrinsic coordinate system for fingerprint matching, in Third International Conference on Audio- and Video-Based Biometric Person Authentication, Halmstad, 2001

    Google Scholar 

  5. X.P. Luo, J. Tian, Y. Wu, A Minutia matching algorithm in fingerprint verification, in Fifteenth ICPR, Barcelona, 2000, vol. 4, pp. 833–836

    Google Scholar 

  6. A.K. Jain, H. Lin, R. Bolle, On-line fingerprint verification. IEEE Trans. Pattern Recognit. Mach. Intell. 19(4), 302–314 (1997)

    Google Scholar 

  7. Z.M. Kovacs-Vajna, A fingerprint verification system based on triangular matching and dynamic time warping. IEEE Trans. Pattern Recognit. Mach. Intell. 22(11), 1266–1276 (2000)

    Google Scholar 

  8. X.J. Chen, J. Tian, X. Yang, A new algorithm for distorted fingerprints matching based on normalized fuzzy similarity measure. IEEE Trans. Image Process. 15(3), 767–776 (2006)

    Google Scholar 

  9. A.M. Bazen, S.H. Gerez, Fingerprint matching by thin-plate spline modelling of elastic deformations. Pattern Recognit. 36(8), 1859–1867 (2003)

    Google Scholar 

  10. A. Ross, S. Dass, A.K. Jain, A deformable model for fingerprint matching. Pattern Recognit. 38(1), 95–103 (2005)

    Google Scholar 

  11. Y.L. He, J. Tian, L. Li, X. Yang, Fingerprint matching based on global comprehensive similarity. IEEE Trans. Pattern Anal. Mach. Intell. 28(6), 850–862 (2006)

    Google Scholar 

  12. A.K. Jain, Y. Chen, M. Demirkus, Pores and ridges: high-resolution fingerprint matching using level 3 features. IEEE Trans. Pattern Recognit. Mach. Intell. 29(1), 15–27 (2007)

    Google Scholar 

  13. A.K. Jain, S. Prabhakar, H. Lin, S. Pankanti, Filterbank-based fingerprint matching. IEEE Trans. Image Process. 9(5), 846–859 (2000)

    Google Scholar 

  14. J. Gu, J. Zhou, C. Yang, Fingerprint recognition by combining global structure and local cues. IEEE Trans. Image Process 15(7), 1952–1964 (2006)

    Google Scholar 

  15. X.C. Wang, J.W. Li, Y.M. Niu, Fingerprint matching using orientation codes and polylines. Pattern Recognit. 40(11), 3164–3177 (2007)

    MATH  Google Scholar 

  16. http://bias.csr.unibo.it/fvc2002/perfeval.asp

  17. R. Cappelli, D. Maio, D. Maltoni, J.L. Wayman, A.K. Jain, Performance evaluation of fingerprint verification systems. IEEE Trans. Pattern Recognit. Mach. Intell. 28(1), 3–18 (2006)

    Google Scholar 

  18. http://fpvte.nist.gov

  19. A. Ross, A.K. Jain, Biometric sensor interoperability: a case study in fingerprints, in Proceedings of Biometric Authentication: ECCV 2004 International Workshop, Prague, 2004, vol. 3087, pp. 134–145

    Google Scholar 

  20. R.M. Bolle, N.K. Ratha, S. Pankanti, An evaluation of error confidence interval estimation methods, in Fifteenth ICPR, Barcelona, 2004, vol. 3, pp. 103–106

    Google Scholar 

  21. A. Ross, A.K. Jain, J. Reisman, A hybrid fingerprint matcher. Pattern Recognit. 36(7), 1661–1673 (2003)

    Google Scholar 

  22. S. Bhakar, A.K. Jain, Decision-level fusion in fingerprint verification. Pattern Recognit. 35(4), 861–874 (2002)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Center for Biometrics and Security Research & The Key Laboratory of Complex System and Intelligence Science Chinese Academy of Sciences, Institute of Automation Zhingguancun Donglu, Beijing, China

    Jie Tian

  2. Center for Biometrics and Security Research & The Key Laboratory of Complex System and Intelligence Science Chinese Academy of Sciences, Institute of Automation Zhingguancun Donglu, Beijing, China

    Yangyang Zhang

  3. Center for Biometrics and Security Research & The Key Laboratory of Complex System and Intelligence Science Chinese Academy of Sciences, Institute of Automation Zhingguancun Donglu, Beijing, China

    Kai Cao

Authors
  1. Jie Tian
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  2. Yangyang Zhang
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  3. Kai Cao
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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, Beijing, China

    Stan Z. Li

  2. Departments of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Anil K. Jain

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© 2015 Springer Science+Business Media New York

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Tian, J., Zhang, Y., Cao, K. (2015). Fingerprint Matching, Automatic. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_54

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