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|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|
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