Face detection using Gabor wavelet and SVM

A face detection approach based on Gabor wavelet and support vector machine is proposed. Firstly, the Gabor wavelet features of human face and non-human face samples set are extracted and the training samples set are constructed. Then, support vector machine are trained and the optimal classification decision function is calculated. The comparative experiment results show that the method has the characteristics such as simplification, lower calculation complexity, high efficiency, better detection and allocation accuracy for facial and vertical human face image.