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Artificial Neural Networks-based BiometricsTechnology
Journal
University of the Thai Chamber of Commerce Journal
Publisher(s)
Chulalongkorn University Printing House
University of the Thai Chamber of Commerce
Date Issued
2010
Author(s)
Other Contributor(s)
University of the Thai Chamber of Commerce. Journal Editorial Office
Abstract
Nowadays, the rapid growth of computer technology has a wide range of applications,especially with regard to security. Furthermore, security is a high priority for manyorganizations. Biometrics is a well-known technology used for enhancing securitysystems. Applications of such technology are based, for example, on personalcharacteristics as authentication equipment, and depends on a selection of methods,characteristics, and applications. This paper is mainly based on the biometrics ofartificial neural networks, because the neural network is a popular technology forclassification and can be applied in pattern recognition applications. Specifically, thispaper presents a biometric overview and artificial neural networks-based biometrics assomething personal, such as an infrared thermogram, odor, ear shape, hand geometry,fingerprint, face, retina, iris, palm print, voice, or DNA. The paper includes acomparison of neural networks-based biometric technologies.
Subject(s)
ISSN
0125-2437
Access Rights
public
Rights
This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Rights Holder(s)
University of the Thai Chamber of Commerce
Bibliographic Citation
Suphakant Phimoltares (2010) Artificial Neural Networks-based BiometricsTechnology. University of the Thai Chamber of Commerce Journal Vol.30 No.1.
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