TY - JFULL AU - SeHun Lim and Sanghoon Kim and Sun-Tae Chung and Seongwon Cho PY - 2008/6/ TI - Face Authentication for Access Control based on SVM using Class Characteristics T2 - International Journal of Computer and Information Engineering SP - 1395 EP - 1401 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/9608 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 17, 2008 N2 - Face authentication for access control is a face membership authentication which passes the person of the incoming face if he turns out to be one of an enrolled person based on face recognition or rejects if not. Face membership authentication belongs to the two class classification problem where SVM(Support Vector Machine) has been successfully applied and shows better performance compared to the conventional threshold-based classification. However, most of previous SVMs have been trained using image feature vectors extracted from face images of each class member(enrolled class/unenrolled class) so that they are not robust to variations in illuminations, poses, and facial expressions and much affected by changes in member configuration of the enrolled class In this paper, we propose an effective face membership authentication method based on SVM using class discriminating features which represent an incoming face image-s associability with each class distinctively. These class discriminating features are weakly related with image features so that they are less affected by variations in illuminations, poses and facial expression. Through experiments, it is shown that the proposed face membership authentication method performs better than the threshold rule-based or the conventional SVM-based authentication methods and is relatively less affected by changes in member size and membership. ER -