A Frontal Pose Face Detection and Classification System Based on Haar Wavelet Coefficients and Support Vector Machine

Authors

  • Iwan Setyawan and Ivanna K. Timotius Author

Keywords:

Face detection, face classification, haar wavelet, support vector machine

Abstract

This paper presents an integrated face detection 
and classfication system for faces with frontal pose. The face detection sub-system is based on Haar wavelet coefficients and the face classification sub-system is based on support vector machines. The proposed system is trained using the VISiO multi-view face database and is tested using the commonly used 
test sets. Our experiments show that the proposed face detection sub-system has a 94.8% detection rate while the face classification sub-system has a 68.1% classification rate. 

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Published

07.11.2011

How to Cite

A Frontal Pose Face Detection and Classification System Based on Haar Wavelet Coefficients and Support Vector Machine. (2011). International Journal of Information and Electronics Engineering, 1(3), 276-280. http://www.ijiee.org/index.php/ijiee/article/view/54