Fingerprint characteristic extraction by Ridge Orientation: an Approach for a Supervised Contactless Biometric System | Zendy

Marc Kokou Assogba | Zendy; Amine Nait Ali | Zendy

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Fingerprint characteristic extraction by Ridge Orientation: an Approach for a Supervised Contactless Biometric System

Author(s) -

Marc Kokou Assogba,

Amine Nait Ali

Publication year - 2011

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/2018-2722

Subject(s) - computer science , biometrics , fingerprint (computing) , ridge , orientation (vector space) , artificial intelligence , fingerprint recognition , extraction (chemistry) , pattern recognition (psychology) , computer vision , geology , mathematics , chromatography , paleontology , geometry , chemistry

Fingerprints are the most widely used human characteristics for the purpose of people identification. However, touchbased fingerprint systems have some drawbacks due to skin elasticity, inconsistent finger placement, contact pressure, small sensing area, environment conditions and sensor noise. In this paper, we present a contactless fingerprint system based on a supervised contactless image acquisition and a ridge minutiae extraction method based on orientation computation. The fingerprint image acquisition method requires only an ordinary camera. The ridge orientation characteristic extraction is based on a double windowing of the ridge ending points and a single windowing of the ridge bifurcation points.

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