TY - JFULL AU - S. Vural and H. Yamauchi PY - 2008/10/ TI - Practical Aspects of Face Recognition T2 - International Journal of Electrical and Computer Engineering SP - 2061 EP - 2066 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/3670 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 21, 2008 N2 - Current systems for face recognition techniques often use either SVM or Adaboost techniques for face detection part and use PCA for face recognition part. In this paper, we offer a novel method for not only a powerful face detection system based on Six-segment-filters (SSR) and Adaboost learning algorithms but also for a face recognition system. A new exclusive face detection algorithm has been developed and connected with the recognition algorithm. As a result of it, we obtained an overall high-system performance compared with current systems. The proposed algorithm was tested on CMU, FERET, UNIBE, MIT face databases and significant performance has obtained. ER -