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Fingerprint characteristic extraction by Ridge Orientation: an Approach for a Supervised Contactless Biometric System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 16 - Number 6 |
| Year of Publication: 2011 |
| Authors: M. Kokou Assogba, Amine Nait Ali |
10.5120/2018-2722
|
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
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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