Mohammed Maree, Mujahed Eleyat, Shatha Rabayah, Mohammed Belkhatir Department of Information Technology, Faculty of Engineering and Information Technology, Arab American University, Jenin, Palestine Department of Computer Systems Engineering, Faculty of Engineering and Information Technology, Arab American University, Jenin, Palestine Department of Computer Science, Faculty of Engineering and Information Technology, Arab American University, Jenin, Palestine Department of Computer Science, Campus de la Doua, University of Lyon, Lyon, France

IAES International Journal of Artificial Intelligence (IJ-AI)

Face recognition is one of the most successful applications of image analysis and understanding and has gained much attention in recent years. Face Recognition is a computer based application which detects the faces of different persons for authentication and various other purposes. It has separate applications from the fingerprint and iris recognitions. There are various successful techniques are purposed so far as Holistically methods and Discrete Cosine Transform (DCT). In this paper, we purpose a simple and fast face recognition system on the basis of feature extraction using Principal Component Analysis (PCA) is a classical and successful method of dimension reduction and the discrete cosine transform paper (DCT) is a well know compression technique. This paper proposes for improving the recognition rate of the face recognition system. The main advantage of this technique is increase the efficiency and implementation easier, high speed and better recognition rate .

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Amal. E. Aswis

Papers

Face Recognition based on PCA and DCT Combination Technique