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Effective Face Feature For Human Identification

Daramola, S. A. and Odu, Tiwalade and Ajayi, Olujimi (2014) Effective Face Feature For Human Identification. International Journal of Research in Engineering and Technology, 3 (4). pp. 117-120. ISSN 2319-1163 | p: 2321-7308

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Face image is one of the most important parts of human body. It is easily use for identification process. People naturally identify one another through face images. Due to increase rate of insecurity in our society, accurate machine based face recognition systems are needed to detect impersonators. Face recognition systems comprise of face detector module, preprocessing unit, feature extraction subsystem and classification stage. Robust feature extraction algorithm plays major role in determining the accuracy of intelligent systems that involves image processing analysis. In this paper, pose invariant feature is extracted from human faces. The proposed feature extraction method involves decomposition of captured face image into four sub-bands using Haar wavelet transform thereafter shape and texture features are extracted from approximation and detailed bands respectively. The pose invariant feature vector is computed by fusing the extracted features. Effectiveness of the feature vector in terms of intra-person variation and inter-persons variation was obtained from feature plots

Item Type: Article
Uncontrolled Keywords: Center points, Edge detected image, Feature Face-image, Pose invariant.
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Hannah Akinwumi
Date Deposited: 03 Mar 2016 10:46
Last Modified: 03 Mar 2016 10:46

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