Adaptation of Rigid Registration Algorithm to the Fingerprints Identification

Mostafa Boutahri; Samir Zeriouh; Said El Yamani; Abdenbi Bouzid; Ahmed Roukhe

doi:doi:10.11648/j.ajsea.20150406.12

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Adaptation of Rigid Registration Algorithm to the Fingerprints Identification

Mostafa Boutahri, Samir Zeriouh, Said El Yamani, Abdenbi Bouzid, Ahmed Roukhe

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.

DOI	10.11648/j.ajsea.20150406.12
Published in	American Journal of Software Engineering and Applications (Volume 4, Issue 6, December 2015)
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), 2024. Published by Science Publishing Group

Keywords

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

References

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[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.

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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

Mostafa Boutahri

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

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

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

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

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

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Plain Text BibTeX RIS

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download