Fingerprint Identification Based on Hierarchical Triangulation

Meryam Elmouhtadi, Sanaa El fkihi and Driss Aboutajdine
Volume: 14, No: 2, Page: 435 ~ 447, Year: 2018
10.3745/JIPS.02.0084
Keywords: Biometric, Fingerprint Identification, Delaunay Triangulation, Fingerprint Matching, Minutiae Extraction
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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
IEEE Style
Meryam Elmouhtadi, Sanaa El fkihi, and Driss 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 , "Fingerprint Identification Based on Hierarchical Triangulation ," Journal of Information Processing Systems, 14, 2, (2018), 435~447. DOI: 10.3745/JIPS.02.0084.