Fingerprint Identification Based on Hierarchical Triangulation


Meryam Elmouhtadi, Sanaa El fkihi, Driss Aboutajdine, Journal of Information Processing Systems
Vol. 14, No. 2, pp. 435-447, Apr. 2018
10.3745/JIPS.02.0084
Keywords: Biometric, Fingerprint Identification, Delaunay Triangulation, Fingerprint Matching, Minutiae Extraction
Fulltext:

Abstract

Fingerprint-based biometric identification is one of the most interesting automatic systems for identifying individuals. Owing to the poor sensing environment and poor quality of skin, biometrics remains a challenging problem. The main contribution of this paper is to propose a new approach to recognizing a person’s fingerprint using the fingerprint’s local characteristics. The proposed approach introduces the barycenter notion applied to triangles formed by the Delaunay triangulation once the extraction of minutiae is achieved. This ensures the exact location of similar triangles generated by the Delaunay triangulation in the recognition process. The results of an experiment conducted on a challenging public database (i.e., FVC2004) show significant improvement with regard to fingerprint identification compared to simple Delaunay triangulation, and the obtained results are very encouraging.


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Cite this article
[APA Style]
Meryam Elmouhtadi, Sanaa El fkihi, & Driss Aboutajdine (2018). Fingerprint Identification Based on Hierarchical Triangulation . Journal of Information Processing Systems, 14(2), 435-447. DOI: 10.3745/JIPS.02.0084.

[IEEE Style]
M. Elmouhtadi, S. E. fkihi and D. Aboutajdine, "Fingerprint Identification Based on Hierarchical Triangulation ," Journal of Information Processing Systems, vol. 14, no. 2, pp. 435-447, 2018. DOI: 10.3745/JIPS.02.0084.

[ACM Style]
Meryam Elmouhtadi, Sanaa El fkihi, and Driss Aboutajdine. 2018. Fingerprint Identification Based on Hierarchical Triangulation . Journal of Information Processing Systems, 14, 2, (2018), 435-447. DOI: 10.3745/JIPS.02.0084.