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Reseach Article

Fingerprint Verification System based on Active Forgery Techniques

by Abbas H. Hassin Alasadi, Roqaya Hamad Jaffar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 11
Year of Publication: 2018
Authors: Abbas H. Hassin Alasadi, Roqaya Hamad Jaffar
10.5120/ijca2018916220

Abbas H. Hassin Alasadi, Roqaya Hamad Jaffar . Fingerprint Verification System based on Active Forgery Techniques. International Journal of Computer Applications. 180, 11 ( Jan 2018), 6-10. DOI=10.5120/ijca2018916220

@article{ 10.5120/ijca2018916220,
author = { Abbas H. Hassin Alasadi, Roqaya Hamad Jaffar },
title = { Fingerprint Verification System based on Active Forgery Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2018 },
volume = { 180 },
number = { 11 },
month = { Jan },
year = { 2018 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number11/28904-2018916220/ },
doi = { 10.5120/ijca2018916220 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:00:21.879818+05:30
%A Abbas H. Hassin Alasadi
%A Roqaya Hamad Jaffar
%T Fingerprint Verification System based on Active Forgery Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 11
%P 6-10
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The fingerprint is a powerfully applicable tool for person authentication in commercial business, civil, and forensic usage. Minutiae points and ridge patterns consider the main source of features that mostly used in recent fingerprint identification systems. In this paper, Scale Invariant Feature Transform (SIFT) is extensively used for representation and extraction of features. After that, RANSAC algorithm is used for determining the matching area exactly. Database of International Fingerprint Verification Competition (FVC2000 and FVC2002) has used in experimental results. Finally, the results have compared with other works. Empirically, the results of the proposed algorithm were acceptable and better.

References
  1. Jain, Anil, Arun A. Ross, and Karthik Nandakumar. Introduction to biometrics. Springer Science & Business Media, 2011.
  2. Stoianov, Alex, Colin Soutar, and Allan Graham. "High-speed fingerprint verification using an optical correlator." Optical Engineering 38.1 (1999): 99-107.
  3. Bolle, Rudolf Maarten, et al. "Fingerprint representation using localized texture feature." U.S. Patent No. 8,180,121. 15 May 2012.
  4. Jain, Anil K., Salil Prabhakar, and Shaoyun Chen. "Combining multiple matchers for a high security fingerprint verification system." Pattern Recognition Letters 20.11 (1999): 1371-1379.
  5. Willis, Andrew John, and L. Myers. "A cost-effective fingerprint recognition system for use with low-quality prints and damaged fingertips." Pattern recognition 34.2 (2001): 255-270.
  6. Jain, Anil K., et al. "Filterbank-based fingerprint matching." IEEE transactions on Image Processing 9.5 (2000): 846-859.
  7. Cappelli, Raffaele, Matteo Ferrara, and Davide Maltoni. "Minutiae-based fingerprint matching." Cross Disciplinary Biometric Systems. Springer Berlin Heidelberg, 2012. 117-150.
  8. Jain, Anil, Lin Hong, and Ruud Bolle. "On-line fingerprint verification." IEEE transactions on pattern analysis and machine intelligence 19.4 (1997): 302-314.
  9. Maltoni, Davide, Raffaele Cappelli, and Didier Meuwly. "Automated Fingerprint Identification Systems: From Fingerprints to Fingermarks." Handbook of Biometrics for Forensic Science. Springer International Publishing, 2017. 37-61.
  10. Mathur, Surbhi, et al. "Methodology for partial fingerprint enrollment and authentication on mobile devices." Biometrics (ICB), 2016 International Conference on. IEEE, 2016.
  11. D.G.Lowe, “Distinctive Image Features from Scale-Invariant Keypoints,” International Journal of Computer Vision, 60(2), 91-110, 2004.
  12. D. Maio, D. Maltoni, J. L. Wayman, and A. K. Jain, FVC2002: Second Fingerprint Verification Competition, International Conference on Pattern Recognition, 811–814, 2002.
  13. Beis, Jeffrey S., and David G. Lowe. "Shape indexing using approximate nearest-neighbour search in high-dimensional spaces." Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on. IEEE, 1997.
  14. Fischler, Martin A., and Robert C. Bolles. "Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography." Communications of the ACM 24.6 (1981): 381-395.
  15. Parikh, Chirag R., and Heather Thiessen-Philbrook. Key concepts and limitations of statistical methods for evaluating biomarkers of kidney disease. Journal of the American Society of Nephrology, 2014, 25(8):1621-1629
Index Terms

Computer Science
Information Sciences

Keywords

Fingerprint matching Feature extraction SIFT RANSAC.