Please use this identifier to cite or link to this item:
Title: Artificial Neural Networks-based BiometricsTechnology
Authors: Phimoltares, Suphakant 
Issue Date: 2010
Publisher: Chulalongkorn University Printing House
University of the Thai Chamber of Commerce
Source: Suphakant Phimoltares (2010) Artificial Neural Networks-based BiometricsTechnology. University of the Thai Chamber of Commerce Journal Vol.30 No.1.
Journal: University of the Thai Chamber of Commerce Journal 
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.
ISSN: 0125-2437
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.
Appears in Collections:JEO: Journal Articles

Files in This Item:
File Description SizeFormat 
589fultext.pdf1.08 MBAdobe PDFThumbnail
Show full item record Recommend this item

Page view(s)

checked on Jul 11, 2019

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.