A Frontal Pose Face Detection and Classification System Based on Haar Wavelet Coefficients and Support Vector Machine
Iwan Setyawan · International Journal of Information and Electronics Engineering · 2011
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.