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Hartley Transform Based Fingerprint Matching

  • Bharkad, Sangita (Electronics and Telecommunication Engineering Deapartment, Government College of Engineering) ;
  • Kokare, Manesh (Electronics and Telecommunication Engineering Deapartment, Shri Guru Gobind Singhji Institute of Engineering and Technology)
  • Received : 2011.05.16
  • Accepted : 2011.11.17
  • Published : 2012.03.31

Abstract

The Hartley transform based feature extraction method is proposed for fingerprint matching. Hartley transform is applied on a smaller region that has been cropped around the core point. The performance of this proposed method is evaluated based on the standard database of Bologna University and the database of the FVC2002. We used the city block distance to compute the similarity between the test fingerprint and database fingerprint image. The results obtained are compared with the discrete wavelet transform (DWT) based method. The experimental results show that, the proposed method reduces the false acceptance rate (FAR) from 21.48% to 16.74 % based on the database of Bologna University and from 31.29% to 28.69% based on the FVC2002 database.

Keywords

References

  1. H. Cummins, Charles Midlo, Fingerprints, Palms and Soles: An Introduction to Dermatoglyphics, Dover Publications, Inc., New York, 1961.
  2. S. Bharkad and M. Kokare, "Survey of current fingerprint matching methods," Proceeding in international conf. on Computer networks and security, 2008, pp.352-355.
  3. S. D. Bharkad and M. B. Kokare, Fingerprint Identification: Ideas, Influences, and Trends of the New Age, Pattern recognition, Machine intelligence and Biometrics(PRMI), Chapter 17, Springer publication 2011, pp.417-455.
  4. A.K. Hrechak and J.A. McHugh, "Automated fingerprint recognition using structural matching," IEEE Trans. Pattern Recognition, 1990, pp.893-904.
  5. B.G. Sherlock, D. M. Monro, K. Millard, "Fingerprint enhancement by directional Fourier filtering," IEE Proc., Vision, Image Signal Process, 1994, pp.87-94.
  6. K. R. Nalini, K. Karu, S. Chen, A. K. Jain, "A real-time matching system for large fingerprint databases," IEEE Trans. Pattern Anal. Mach. Intell, 1996, pp.799-813.
  7. M. D. Jain, P. Nalin, C. Prakash, R. Balasubramanian, "Binary Tree Based Linear Time Fingerprint Matching," Proc. IEEE on Image Processing, 2006, pp.309-312.
  8. P. Bhowmick, B. B. Bhattacharya, "Approximate Fingerprint Matching Using Kd-tree," Proc. IEEE on Pattern Recognition, 2004, pp.544-547.
  9. J. S. Bartunek, M. Nilsson, J. Nordberg, I. Claesson, "Neural Network based Minutiae Extraction from Skeletonized Fingerprints," Proc. IEEE on TENCON, 2006, pp.1-4.
  10. M. Tico, P. Kuosmanen, "Fingerprint Matching Using an Orientation-Based Minutia Descriptor," IEEE Trans. on Pattern Analysis and Machine Intelligence, 2003, pp.1009-1014.
  11. K A. Nagaty, "An Energy-Based Fingerprint Matching System," Proc. IEEE on Consumer Communications and Networking, 2004, pp.706-709.
  12. A. K. Jain, S. Prabhakar, L. Hong, S. Pankanti, "FingerCode: A Filterbank for Fingerprint Representation and Matching," Proc. IEEE On Computer Vision and Pattern Recognition, 1999, pp.187-193.
  13. M. Horton, P. Meenen, R. Adhami, P. Cox, "The Costs And Benefits of using complex 2D Gabor Filter in a filter Based Fingerprint Matching system," Proc. IEEE on System Theory, 2002, pp.171- 175.
  14. A. K. Jain, S. Prabhakar, L. Hong, S. Pankanti, "Filterbank-Based Fingerprint Matching," IEEE Trans. on image processing, 2000, pp.846-859.
  15. M. U. Munir, M. Y. Javed, "Fingerprint Matching using Ridge Patterns," Proc. IEEE on Information and Communication Technology, 2005, pp.116-120.
  16. M. Tico, E. Immonen, P. Ramo, P. Kuosmanen and J. Saarinen, "Fingerprint Recognition Using Wavelet Features," The 2001 IEEE International Symposium on Circuits and Systems, 2001, pp.21- 24.
  17. S. Bharkad and M. Kokare, Comparison of Transform based features for fingerprint Matching," Proceeding in IEEE conf. on Electronic Design and Signal Processing, December, 2009.
  18. S. Bharkad and M. Kokare., "Sine Transform Based fingerprint Matching," Proceeding in international conf. on Information science and applications, 2010, pp.56-59.
  19. S. Bharkad and M. Kokare, "Sine Transform Based fingerprint Matching," International journal of Technology and engineering system,Vol.01, 2010, pp.131-136.
  20. L. Hong, Y. Wan, and A.K. Jain, "Fingerprint Image Enhancement: Algorithms and Performance Evaluation," IEEE Transactions on PAMI, 1998, pp.777-789.
  21. A. Jain, Fundamentals of Digital Image Processing, Englewood Cliffs, NJ: Prentice-Hall, 1989.
  22. Biometric system Lab, University of Bologna, Casena-Italy, (WWW.csr.unobo.it/research/biolab).
  23. S. Bharkad and M. Kokare, "Performance evaluation of distance metrics: application to fingerprint recognition," in international journal of pattern recognition and artificial intelligence (IJPRAI), Vol.25, No.6, 2011, pp.777-806. https://doi.org/10.1142/S0218001411009007
  24. K.J. Olejniczak, The Transforms and Applications Handbook: Second Edition. Ed. Alexander D. Poularikas Boca Raton: CRC Press LLC, 2000.
  25. A. Gholamreza, T. Alireza and B. George, "Accurate and Efficient Computation of Gabor Features in Real-Time Applications," Proc. in fifth international symposium on Advances in visual computing(ISVC), 2009, pp.243-252.
  26. R.N., Bracewell, ed.: The Fourier Transform and Its Applications. 3rd edition. McGraw-Hill (2000).
  27. H. Guo and C. S. Burrus, "Wavelet transform based fast approximate Fourier transform via," Proceeding in IEEE international conf. on Acoustics, Speech and signal processing(ICASSP), 1997, pp.1973-1976.

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