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.
Index Terms—Face detection, face classification, haar wavelet, support vector machine.
The authors are with the Department of Electronic Engineering, Satya Wacana Christian University, Salatiga, Indonesia (e-mail: firstname.lastname@example.org, email@example.com).
Cite: Iwan Setyawan and Ivanna K. Timotius, "A Frontal Pose Face Detection and Classification System Based on Haar Wavelet Coefficients and Support Vector Machine," International Journal of Information and Electronics Engineering vol. 1, no. 3, pp. 276-280, 2011.