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Face Detection Technique Based on Skin Color and Facial Features

Mohamed Alajel, Khalid (2005) Face Detection Technique Based on Skin Color and Facial Features. Masters thesis, Universiti Putra Malaysia.

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Face detection is an essential first step in face recognition systems with the purpose of localizing and extracting the face region from the background. Apart from increasing the efficiency of face recognition systems, face detection technique also opens up the door of opportunity for application areas such as content based image retrieval, video encoding, video conferencing, crowd surveillance and intelligent human computer interfaces. This thesis presents the design of face detection approach which is capable of detecting human faces from complex background. A skin color modeling process is adopted for the face segmentation process. Image enhancement is then used to improve the face candidate before feeding to the face object classifier based on Modified Hausdroff distance. The results indicate that the system is able to detect human faces with reasonable accuracy

Item Type:Thesis (Masters)
Subject:Face - Movement Disoders
Subject:Facial expression
Chairman Supervisor:Khairi Bin Yusof, PhD
Call Number:FK 2005 9
Faculty or Institute:Faculty of Engineering
ID Code:5987
Deposited By: Nur Izyan Mohd Zaki
Deposited On:06 May 2010 16:37
Last Modified:27 May 2013 15:26

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