Please use this identifier to cite or link to this item: https://scholar.utcc.ac.th/handle/6626976254/3656
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.
URI: https://scholar.utcc.ac.th/handle/6626976254/3656
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
View/Open
Show full item record Recommend this item

Page view(s)

8
checked on Jul 11, 2019

Google ScholarTM

Check


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