Bio security using face recognition for industrial use
Sadi Vural. Hironori Yamauchi · 2006
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 significiant performance has obtained.