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Evaluation of Fingerprint Minutiae on Ridge Structure Using Gabor and Closed Hull Filters

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • R. Anandha Jothi

    (Alagappa University, Department of Computer Applications)

  • J. Nithyapriya

    (Alagappa University, Department of Computer Applications)

  • V. Palanisamy

    (Alagappa University, Department of Computer Applications)

  • S. Aanjanadevi

    (Alagappa University, Department of Computer Applications)

Abstract

Minutiae-based fingerprint recognition system is an important technique for person identification. Yet spurious and false minutiae are often occurred and it can be removed during the post-processing phase is passible. False minutiae will affect the accuracy of fingerprint matching process. Hence it is essential to decrease the false minutiae and increase the fingerprint authentication. Besides initially at the pre-processing the input fingerprint image is subjected to adaptive histogram equalization (AHE) followed by Gabor Filter (GF). Using Gabor filter to improve the given fingerprint in wavelet domain and restructure the fingerprint. Further the enhanced image subjected to binarization and thinning process. After successful pre-processing the minutiae set extracted by crossing number method while the existence of spurious minutiae lying on the boundaries of the fingerprint image. To overcome this problem in post-processing stage, the Graham’s Scan Algorithm (GSA) based closed hull filtering technique (CHFT) is successfully to remove the border minutiae. The studied closed hull filtering can be simply superposed to the fingerprint template, the accuracy of filtered minutiae evaluated by Goodness Index (GI) value calculated through manually. Thus the post-processing method, the Graham’s scan algorithm applied on fingerprint minutiae points(vertex) proved mathematically, The investigational results of the projected algorithm was verified on FVC2002and 2004 fingerprint database DBI.

Suggested Citation

  • R. Anandha Jothi & J. Nithyapriya & V. Palanisamy & S. Aanjanadevi, 2020. "Evaluation of Fingerprint Minutiae on Ridge Structure Using Gabor and Closed Hull Filters," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 663-673, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_65
    DOI: 10.1007/978-3-030-41862-5_65
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