Universiti Teknologi Malaysia Institutional Repository

Face detection using artificial neural network approach

Khalid, Marzuki and Jumari, Khairol Faisal and Nazeer, Shahrin Azuan and Omar, Nazaruddin (2007) Face detection using artificial neural network approach. First Asia International Conference On Modeling & Simulation (AMS 2007) . pp. 394-399.

Full text not available from this repository.

Official URL: http://doi.ieeecomputersociety.org/10.1109/AMS.200...


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:Article
Additional Information:ISBN 0-7695-2845-7
Uncontrolled Keywords:Face detection, feature extraction, face recognition
Subjects:Q Science > Q Science (General)
ID Code:8769
Deposited On:12 May 2009 08:26
Last Modified:19 Oct 2017 03:44

Repository Staff Only: item control page