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Development of a face recognition system using artificial intelligent techniques based on hybrid feature selection Development of a face recognition system using artificial intelligent techniques based on hybrid

Chu, Kai Chuan and Mohamad, Dzulkifli (2006) Development of a face recognition system using artificial intelligent techniques based on hybrid feature selection Development of a face recognition system using artificial intelligent techniques based on hybrid. In: Postgraduate Annual Research Seminar 2006 (PARS 2006), 24 - 25 May 2006, Postgraduate Studies Department FSKSM, UTM Skudai.

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Abstract

This paper introduces a new solution of recognizing human faces in 2-dimensional digital images using a localization of facial parts information (such as eyes, nose, eyebrow, mouth, ears, etc), Pseudo Zernike Moment Invariants (PZMI) as feature, and Radial Basis Function (RBF) neural network as classifier. The proposed method, employs a set of different kind of feature from the face images and projected in each appropriately transform methods in parallel. Then the output of the RBF classifiers are fused together to make a decision. The proposed method can process the recognition and lends itself to higher classification accuracy by providing flexibility in dealing facial features, and not affected by irrelevant information in an image

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Face Recognition, Facial Feature Extraction, Localization, Neural Network, Genetic Algorithm
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:3206
Deposited By:INVALID USER
Deposited On:21 May 2007 08:13
Last Modified:12 Oct 2010 05:11

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