Person's Identification with Partial Fingerprint Based on a Redefinition of Minutiae Features

The identification of persons through partial fingerprint is one of the basic biometrie matters. The context of use is situated particularly in forensics. The main issue is the insufficiency of information contained in the partial fingerprint, it depends from the size of the proportion found in the crime scene. In this paper, we propose a novel approach for the identification of persons through partial fingerprint which uses redefined characteristics of minutiae extracted from the fingerprint image. To validate our work, we exploit two complete databases FVC 2004 and POLYU HRF to form our dataset. The proposed approach reaches recognition rates up to 98.06% and 98.82% when using datasets extracted from POLYU HRF database and FVC 2004 database respectively. It outperforms four state-of-the-art methods in term of recognition rates in different percentage of incomplete fingerprint image.