TY - JFULL AU - M. Almas Anjum and M. Younus Javed and A. Basit PY - 2008/8/ TI - A New Approach to Face Recognition Using Dual Dimension Reduction T2 - International Journal of Computer and Information Engineering SP - 2518 EP - 2524 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/4885 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 19, 2008 N2 - In this paper a new approach to face recognition is presented that achieves double dimension reduction, making the system computationally efficient with better recognition results and out perform common DCT technique of face recognition. In pattern recognition techniques, discriminative information of image increases with increase in resolution to a certain extent, consequently face recognition results change with change in face image resolution and provide optimal results when arriving at a certain resolution level. In the proposed model of face recognition, initially image decimation algorithm is applied on face image for dimension reduction to a certain resolution level which provides best recognition results. Due to increased computational speed and feature extraction potential of Discrete Cosine Transform (DCT), it is applied on face image. A subset of coefficients of DCT from low to mid frequencies that represent the face adequately and provides best recognition results is retained. A tradeoff between decimation factor, number of DCT coefficients retained and recognition rate with minimum computation is obtained. Preprocessing of the image is carried out to increase its robustness against variations in poses and illumination level. This new model has been tested on different databases which include ORL , Yale and EME color database. ER -