Face Recognition Using Fixed Spread Radial Basis Function Neural Network

A. Aziz, Khairul Azha and Hamzah, Rostam Affendi and Damni, Siti Dhamirah Izzati and Ahmad Nizam, Mohd Jahari and Abdullah, Shahrum Shah (2011) Face Recognition Using Fixed Spread Radial Basis Function Neural Network. Journal of Telecommunication, Electronic And Computer Engineering, 3 (2). pp. 55-59. ISSN 2180-1843

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Abstract

This paper presents face recognition using spread fixed spread radial basis function neural network. Acquired image will be going through image processing process. General preprocessing approach is use for normalizing the image. Radial Basis Function Neural Network is use for face recognition and Support Vector Machine is used as the face detector. RBF Neural Networks offer several advantages compared to other neural network architecture such as they can be trained using fast two stages training algorithm and the network possesses the property of best approximation. The output of the network can be optimized by setting suitable values of the center and spread of the RBF but in this paper fixed spread is used as there is only one train image for every user and to limit the output value.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering Technology > Department of Electronics & Computer Engineering Technology
Depositing User: Khairul Azha A Aziz
Date Deposited: 19 Jul 2012 14:46
Last Modified: 28 May 2015 02:41
URI: http://eprints.utem.edu.my/id/eprint/4421
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