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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.


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

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Additional Metadata

Item Type: Thesis (Masters)
Subject: Face - Movement Disoders
Subject: Facial expression
Call Number: FK 2005 9
Chairman Supervisor: Khairi Bin Yusof, PhD
Divisions: Faculty of Engineering
Depositing User: Nur Izyan Mohd Zaki
Date Deposited: 06 May 2010 08:37
Last Modified: 03 Jan 2023 07:02
URI: http://psasir.upm.edu.my/id/eprint/5987
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