The Implementation of an Improved Fingerprint Payment Verification System

  • Woong-Sik Kim
  • Weon-Hee Yoo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4251)


In the world security market, the size of the biometric industry is gradually increasing, of which the fingerprint verification is recognized of its superiority and marketability in terms of relatively low cost, light weight and easiness to input bio-information, compared to other biometric methods[1,2].

This paper proposes a method to utilize the strengths of the fingerprint verification for credit card dealing. The example of the utilization of the credit card payment is the model business of fingerprint verification credit card payment applied for three months in large domestic marts in Korea, to discuss the possibility to settle the non-medium credit trading by the biometric technology and the applicability to the financial services.


Credit Card Discount Store Credit Card Company Fingerprint Verification Credit Card Dealing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Mario, D., Maltoni, D.: Direct Gray-Scale Minutiae Detection In Fingerprints. IEEE Trans. Pattern Analysis and Machine Intelligence 19(1), 27–39 (1997)CrossRefGoogle Scholar
  2. 2.
    Hong, L., Wan, Y., Jain, A.: Fingerprint Image Enhancement: Algorithm and Performance Evaluation. IEEE Trans. Pattern Analysis and Machine Intelligence 20(8), 777–789 (1998)CrossRefGoogle Scholar
  3. 3.
    Jain, A.K., Hong, L., Bolle, R.: On-Line Fingerprint Verification. IEEE Trans., Pattern Analysis and Machine Intelligence 19(4), 302–313 (1997)CrossRefGoogle Scholar
  4. 4.
    Jain, A.K., Prabhakar, S., Hong, L., Pankanti, S.: Filterbank-based fingerprint matching. IEEE Trans. On Image Processing 9(5), 846–859 (2000)CrossRefGoogle Scholar
  5. 5.
    Nalini, K., Jain, A.K.: A Real-Time Matching System for Large Fingerprint Database. IEEE Trans., Pattern Analysis and Machine Intelligence 18(18), 799–813 (1996)Google Scholar
  6. 6.
    Jiang, X., Yau, W.-Y.: Fingerprint Minutiae Matching Based on the Local and Global Structures. In: International conference on pattern Recognition(ICPR 2000), vol. 2(18), pp. 1038–1042 (2000)Google Scholar
  7. 7.
    Maeda, T., Matsushida, M., Sasakawa, K.: Identification Algorithm Using a Matching Score Matrix. IEICE Trans. INF. & SYST. E-84-D(7), 819–824 (2001)Google Scholar
  8. 8.
    Luo, X., Tian, J., Wu, Y.: A Minutia Matching algorithm in Fingerprint Verification. In: International conference on pattern Recognition (ICPR 2000), vol. 4(18), pp. 4833–4841 (September 2000)Google Scholar
  9. 9.
    Stoszand, J.D., Alyea, L.A.: Automated Systems for Fingerprint Authentication Using Pores and Ridge Structure. In: Proceedings of SPIE, Automatic Systems for the Identification and Inspection of Humans (SPIE), San Diego, vol. 227 7, pp. 210–223 (1994)Google Scholar
  10. 10.
    Kim, W.-S., Yoo, W.-H.: A Layered Fingerprint Method. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 702–709. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  11. 11.
    Kim, W.-S., Yoo, W.-H.: A Method For Acquiring Fingerprint by Linear Sensor. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS (LNAI), vol. 3684, pp. 410–416. Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Woong-Sik Kim
    • 1
    • 2
  • Weon-Hee Yoo
    • 2
  1. 1.Department of Electronics & Information EngineeringKonyang UniversityNonsanSouth Korea
  2. 2.Department of Computer Science & Information EngineeringInha UniversityIncheonSouth Korea

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