Welcome to EPrints UTCC

Phimoltares, Suphakant (2010) Artificial Neural Networks-based Biometrics Technology. University of the Thai Chamber of Commerce Journal, 30 (1). ISSN 0125-2437


Download (1MB) | Preview


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 many organizations. Biometrics is a well-known technology used for enhancing security systems. Applications of such technology are based, for example, on personal characteristics as authentication equipment, and depends on a selection of methods, characteristics, and applications. This paper is mainly based on the biometrics of artificial neural networks, because the neural network is a popular technology for classification and can be applied in pattern recognition applications. Specifically, this paper presents a biometric overview and artificial neural networks-based biometrics as something personal, such as an infrared thermogram, odor, ear shape, hand geometry, fingerprint, face, retina, iris, palm print, voice, or DNA. The paper includes a comparison of neural networks-based biometric technologies.

Item Type: Article
Subjects: General Works > Journals
Science and Technology > Computer Science
Divisions: UTCC Journal Editorial Office
Depositing User: Sirichai Jintaviriyasakoon
Date Deposited: 04 May 2014 08:28
Last Modified: 04 May 2014 08:35
URI: http://eprints.utcc.ac.th/id/eprint/589

Actions (login required)

View Item View Item