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

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International Journal of Computer Applications
© 2011 by IJCA Journal
Number 6 - Article 3
Year of Publication: 2011
Authors:
M. Kokou Assogba
Amine Nait Ali
10.5120/2018-2722

Kokou M Assogba and Amine Nait Ali. Article: Fingerprint characteristic extraction by Ridge Orientation: an Approach for a Supervised Contactless Biometric System. International Journal of Computer Applications 16(6):14–19, February 2011. Full text available. BibTeX

@article{key:article,
	author = {M. Kokou Assogba and Amine Nait Ali},
	title = {Article: 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},
	month = {February},
	note = {Full text available}
}

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.

Reference

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