DocumentCode :
838008
Title :
Fingerprint verification using smart cards for access control systems
Author :
Sanchez-Reillo, Raul ; Sanchez-Avila, Carmen
Author_Institution :
Dept. Ingenieria Electrica, Electronica y Autom., Univ. Carlos III de Madrid, Spain
Volume :
17
Issue :
9
fYear :
2002
fDate :
9/1/2002 12:00:00 AM
Firstpage :
12
Lastpage :
15
Abstract :
Over the past few years, the authors have tried to integrate biometrics into a smart card. In this paper, to improve error rates obtained with hand geometry biometrics and the costs with the iris recognition system, fingerprints are used. This technique, quite well known in the industry and deeply studied for the last century, has improved its electronic sensors, pulling down prices and, therefore, enabling its use in many more applications. The first step, as in every biometric system, is to obtain an image of the user´s fingerprint. After this, a pre-processing algorithm is applied, which enables feature extraction to obtain the location and type of all minutiae, i.e., the discontinuities in the ridges and valleys of the fingerprint. Due to the fact that it is not possible to always catch the same number of minutiae, a special matching algorithm should be applied to compare the feature vector with the corresponding user´s template. Efforts to integrate this matching algorithm in a low computer power device, such as a smart card, are given, showing the paths that should be followed in order to improve the security of access control and payment systems available today.
Keywords :
feature extraction; fingerprint identification; smart cards; access control security improvement; access control systems; biometrics; electronic sensors; error rates improvement; feature extraction; fingerprint verification; hand geometry biometrics; low computer power device; matching algorithm; pre-processing algorithm; ridges discontinuities; smart cards; user´s fingerprint image; valleys discontinuities; Access control; Biometrics; Costs; Electrical equipment industry; Electronics industry; Error analysis; Fingerprint recognition; Geometry; Iris recognition; Smart cards;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
Publisher :
ieee
ISSN :
0885-8985
Type :
jour
DOI :
10.1109/MAES.2002.1039788
Filename :
1039788
Link To Document :
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