Abstract
Face recognition provides a challenging issue in the domain of analyzing images. In this paper a novel approach for face recognition using hybrid SIFT-SVM is proposed. The current database is divided into two parts; training and testing database. The SIFT feature will be created for each training images and the keypoints are computed; then the SVM is applied for the matching process for test images. Results are obtained for three cases child; adult and old age which are made on the basis of age. The recognition rate has been computed by False Acceptance Rate (FAR) and False Rejection Rate (FRR) on these cases and then the results are compared with other algorithms. The recognized result provides robust performance under various conditions like different pose; lighting conditions and facial expressions.
Published Version
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