Research Article

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

by  M. Kokou Assogba, Amine Nait Ali
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 16 - Issue 6
Published: February 2011
Authors: M. Kokou Assogba, Amine Nait Ali
10.5120/2018-2722
PDF

M. Kokou Assogba, Amine Nait Ali . Fingerprint characteristic extraction by Ridge Orientation: an Approach for a Supervised Contactless Biometric System. International Journal of Computer Applications. 16, 6 (February 2011), 14-19. DOI=10.5120/2018-2722 

                        @article{ 10.5120/2018-2722,
                        author  = { M. Kokou Assogba,Amine Nait Ali },
                        title   = { Fingerprint characteristic extraction by Ridge Orientation: an Approach for a Supervised Contactless Biometric System },
                        journal = { International Journal of Computer Applications },
                        year    = { 2011 },
                        volume  = { 16 },
                        number  = { 6 },
                        pages   = { 14-19 },
                        doi     = { 10.5120/2018-2722 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2011
                        %A M. Kokou Assogba
                        %A Amine Nait Ali
                        %T Fingerprint characteristic extraction by Ridge Orientation: an Approach for a Supervised Contactless Biometric System%T 
                        %J International Journal of Computer Applications
                        %V 16
                        %N 6
                        %P 14-19
                        %R 10.5120/2018-2722
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Fingerprints are the most widely used human characteristics for the purpose of people identification. However, touch-based 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.

References
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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Contactless Biometry Fingerprint characterization

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