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

by M. Kokou Assogba, Amine Nait Ali
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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

@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 },
issue_date = { February 2011 },
volume = { 16 },
number = { 6 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 14-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume16/number6/2018-2722/ },
doi = { 10.5120/2018-2722 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:04:26.931348+05:30
%A M. Kokou Assogba
%A Amine Nait Ali
%T Fingerprint characteristic extraction by Ridge Orientation: an Approach for a Supervised Contactless Biometric System
%J International Journal of Computer Applications
%@ 0975-8887
%V 16
%N 6
%P 14-19
%D 2011
%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

Keywords

Contactless Biometry Fingerprint characterization

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