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Adaptation of Rigid Registration Algorithm to the Fingerprints Identification

Received: 22 September 2015     Accepted: 4 October 2015     Published: 19 October 2015
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Abstract

In this paper, we present an automated system for the recognition and identification of fingerprints based on rigid registration algorithms. Indeed, after preprocessing carried on a fingerprint database collected in the laboratory, we have built maps of minutiae for each fingerprint. Subsequently, we applied a rigid registration algorithm based on iterative search for closed points ICP (Iterative Closest Point), which allowed us to compare shifted fingerprints serving as test with the fingerprints of the reference database. This comparison gives convincing results and shows high accuracy.

Published in American Journal of Software Engineering and Applications (Volume 4, Issue 6)
DOI 10.11648/j.ajsea.20150406.12
Page(s) 107-114
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Recognition, Identification, Fingerprints, Rigid Registration, Minutiae, ICP

References
[1] Lorène, “La biométrie multimodale: stratégies de fusion de scores et mesures de dépendance virtuelle’’. Thèse de doctorat de Al Mutaz M. Abdalla, Safaai Dress, Nazar Zaki, "Detection of Masses in Digital Mammogram Using Second Order Statistics and Artificial Neural Network", International Journal of Computer Science & Information Technology (IJCSIT), Vol 3, No 3, pp. 176-186 June 2011.
[2] Morizet, “Reconnaissance biométrique par fusion multimodale du visage et de l’iris’’, Thèse de doctorat Télécom 2009.
[3] Doublet, Revenu, Olivier, “Reconnaissance biométrique sans contact de la main intégrant des informations de forme et de texture’’, France Telecom.2003.
[4] Salil Prabhakar, Anil K. Jain, “Learning Fingerprint Minutiae Location and Type’’, International Conference on Pattern Recognition (ICPR), 2000.
[5] Chaohong, “Advanced feature algorithms for automatic fingerprint recognition system”, University of New Yorkatbuffalo.2007.
[6] A. Chaari, S. Lelandais, M. B. Ahmed, “Face classification scheme simplifying identification in biometric databases’’, Transactions on Systems, Signals & Devices (TSSD), Shaker-Verlag, sous presse, 2009.
[7] LIU L., JIANG T., YANG J., and al., Fingerprint Registration by Maximization of Mutual Information, IEEE Transactions on image processing,15(5), 1100-1110, 2006.
[8] M. Boutahri, S. El Yamani, S. Zeriouh, A. Bouzid and A. Roukhe, Fingerprint Identification by Artificial Neural Network, Journal of Physical Science and Application (David publishing), pp.381-384 Jun 2014.
[9] D. Maltoni, D. Maio, A.K. Jain, S. Prabhakar Handbook of Fingerprint Recognition Springer, New York, 2003.
[10] E. M.Gross , D. Wagner, KD trees and Delaunay-based linear interpolation for function learning: a comparison to neural networks with error backpropagation, pp.649 – 653 Nov 1996
[11] Barber, C. B., Dobkin, D. P., Huhdanpaa, H., The quickhull algorithm for convexhulls. ACM Trans. Math. Software 22 (4), 469–483, 1996.
[12] Nuchter, A., Lingemann, K., Hertzberg, J., Cached k–d tree search for ICP algorithms. In: Proc. Sixth Internat. Conf. on 3-D Digital Imaging and Modeling(3DIM), pp. 419–426, 2007.
[13] D. Chetverikov, D. Stepanov, P. Krsek, Robust Euclidean alignment of 3D point sets: the trimmed iterative closest point algorithm, Vol 23, Number 3, pp. 299-309, March 2005.
Cite This Article
  • APA Style

    Mostafa Boutahri, Samir Zeriouh, Said El Yamani, Abdenbi Bouzid, Ahmed Roukhe. (2015). Adaptation of Rigid Registration Algorithm to the Fingerprints Identification. American Journal of Software Engineering and Applications, 4(6), 107-114. https://doi.org/10.11648/j.ajsea.20150406.12

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    ACS Style

    Mostafa Boutahri; Samir Zeriouh; Said El Yamani; Abdenbi Bouzid; Ahmed Roukhe. Adaptation of Rigid Registration Algorithm to the Fingerprints Identification. Am. J. Softw. Eng. Appl. 2015, 4(6), 107-114. doi: 10.11648/j.ajsea.20150406.12

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    AMA Style

    Mostafa Boutahri, Samir Zeriouh, Said El Yamani, Abdenbi Bouzid, Ahmed Roukhe. Adaptation of Rigid Registration Algorithm to the Fingerprints Identification. Am J Softw Eng Appl. 2015;4(6):107-114. doi: 10.11648/j.ajsea.20150406.12

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  • @article{10.11648/j.ajsea.20150406.12,
      author = {Mostafa Boutahri and Samir Zeriouh and Said El Yamani and Abdenbi Bouzid and Ahmed Roukhe},
      title = {Adaptation of Rigid Registration Algorithm to the Fingerprints Identification},
      journal = {American Journal of Software Engineering and Applications},
      volume = {4},
      number = {6},
      pages = {107-114},
      doi = {10.11648/j.ajsea.20150406.12},
      url = {https://doi.org/10.11648/j.ajsea.20150406.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajsea.20150406.12},
      abstract = {In this paper, we present an automated system for the recognition and identification of fingerprints based on rigid registration algorithms. Indeed, after preprocessing carried on a fingerprint database collected in the laboratory, we have built maps of minutiae for each fingerprint. Subsequently, we applied a rigid registration algorithm based on iterative search for closed points ICP (Iterative Closest Point), which allowed us to compare shifted fingerprints serving as test with the fingerprints of the reference database. This comparison gives convincing results and shows high accuracy.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Adaptation of Rigid Registration Algorithm to the Fingerprints Identification
    AU  - Mostafa Boutahri
    AU  - Samir Zeriouh
    AU  - Said El Yamani
    AU  - Abdenbi Bouzid
    AU  - Ahmed Roukhe
    Y1  - 2015/10/19
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ajsea.20150406.12
    DO  - 10.11648/j.ajsea.20150406.12
    T2  - American Journal of Software Engineering and Applications
    JF  - American Journal of Software Engineering and Applications
    JO  - American Journal of Software Engineering and Applications
    SP  - 107
    EP  - 114
    PB  - Science Publishing Group
    SN  - 2327-249X
    UR  - https://doi.org/10.11648/j.ajsea.20150406.12
    AB  - In this paper, we present an automated system for the recognition and identification of fingerprints based on rigid registration algorithms. Indeed, after preprocessing carried on a fingerprint database collected in the laboratory, we have built maps of minutiae for each fingerprint. Subsequently, we applied a rigid registration algorithm based on iterative search for closed points ICP (Iterative Closest Point), which allowed us to compare shifted fingerprints serving as test with the fingerprints of the reference database. This comparison gives convincing results and shows high accuracy.
    VL  - 4
    IS  - 6
    ER  - 

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Author Information
  • Optronic and Information Treatment Team, Atomic, Mechanical, Photonic and Energy Laboratory, Faculty of Science, Moulay Ismail University, Zitoune, Meknès, Morocco

  • Optronic and Information Treatment Team, Atomic, Mechanical, Photonic and Energy Laboratory, Faculty of Science, Moulay Ismail University, Zitoune, Meknès, Morocco

  • Optronic and Information Treatment Team, Atomic, Mechanical, Photonic and Energy Laboratory, Faculty of Science, Moulay Ismail University, Zitoune, Meknès, Morocco

  • Optronic and Information Treatment Team, Atomic, Mechanical, Photonic and Energy Laboratory, Faculty of Science, Moulay Ismail University, Zitoune, Meknès, Morocco

  • Optronic and Information Treatment Team, Atomic, Mechanical, Photonic and Energy Laboratory, Faculty of Science, Moulay Ismail University, Zitoune, Meknès, Morocco

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