ISSN: 1945-7553
CODEN: JTEVAB
Published Online: 8 January 2010
Page Count: 14

Implementation of a Fingerprint Recognition System Using LBP Descriptor

Masmoudi, Alima Damak
Computers Imaging Electronics and Systems Group (CIELS), ICOS Research Unit, Univ. of Sfax, Sfax Engineering School,

Masmoudi, Dorra Sellami
Computers Imaging Electronics and Systems Group (CIELS), ICOS Research Unit, Univ. of Sfax, Sfax Engineering School,

(Received 7 May 2009; accepted 11 November 2009)

Abstract

Conventional fingerprint recognition systems provide authentication by a direct matching of minutiae points and orientation field. Although several resemblance algorithms have been proposed, reliable automatic fingerprint verification remains a challenge due to the difficulty in alignment for direct matching and the construction of adequate functions for resemblance measurements. In this paper, we propose a solution to the aforementioned problems using a local binary pattern (LBP) descriptor applied to minutiae and orientation fields. The experimental results on the public fingerprint database, Fingerprint Verification Competition (FVC), show high recognition rates. The proposed system was implemented on the platform known as FPGA Virtex-II Xilinix™ (Virtex2p-xc2vp7-FF672) and optimized with respect to hardware resources occupation, based on a co-design methodology. All the proposed algorithms are involved in the design of a mixed software/hardware dedicated system. A classifier based on pulse mode neural networks using floating-point format is proposed.

Keywords:
pulse mode, fingerprint recognition, orientation field, minutiae, Gabor filter, ROC curve, LBP, PowerPC, FPGA implementation

Paper ID: JTE102488
DOI: 10.1520/JTE102488
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