Component-based face detection in colour images

Jamal Ahmad Dargham, and Ali Chekima, (2008) Component-based face detection in colour images. In: 10th WSEAS Int Conf on Math Methods, Computat Tech and Intelligent Syst/7th WSEAS Int Conference on Non-Linear Anal, Non-Linear Syst and Chaos/8th WSEAS Int Conf Wavelet Anal and Multirate Syst , 26-28 October 2008 , Corfu, Greece.

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Abstract

Face detection is an important process in many applications such as face recognition, person identification and tracking, and access control. The technique used for face detection depends on how a face is modelled. In this paper, a face is defined as a skin region and a lips region that meet certain geometrical criteria. Thus, the face detection system has three main components: a skin detection module, a lips detection module, and a face verification module. The Multi-layer perceptron (MLP) neural networks was used for the skin and lips detection modules. In order to test the face detection system, two databases were created. The images in the first database, called In-house, were taken under controlled environment while those in the second database, called WWW, were collected from the World Wide Web and as such have no restriction on lighting, head pose or background. The system achieved a correct detection rate of 87 and 80 percent oil the In-house and WWW databases respectively

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Face detection, MLP neural network, Component-based detection
Subjects: ?? TK8300-8360 ??
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 03 Oct 2011 10:14
Last Modified: 30 Dec 2014 06:42
URI: http://eprints.ums.edu.my/id/eprint/1268

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