Universiti Teknologi Malaysia Institutional Repository

Face detecting using artificial neural network approach

Khalid, Marzuki and Jumari, Khairol Faisal and Omar, Nazaruddin and Nazeer, Shahrin Azuan (2007) Face detecting using artificial neural network approach. In: First Asia International Conference on Modeling & Simulation(AMS 2007), 27-30 March 2007 , Phuket, Thailand.

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Official URL: http://dx.doi.org/10.1109/AMS.2007.38

Abstract

A frontal face detection system using artificial neural network is presented. The system used integral image for image representation which allows fast computation of the features used. The system also applies the AdaBoost learning algorithm to select a small number of critical visual features from a very large set of potential features. Besides that, it also used cascade of classifiers algorithm which allows background regions of the image to be quickly discarded while spending more computation on promising face-like regions. Furthermore, a set of experiments in the domain of face detection is presented. The system yields a promising face detection performance.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:artificial intelligence, artificial neural networks, data acquisition, electronic mail
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:21978
Deposited By: Ramli Haron
Deposited On:13 Mar 2012 08:43
Last Modified:13 Mar 2012 08:43

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