A typical automatic face recognition system is composed of three parts: face detection, face alignment and face recognition. Conventionally, these three parts are processed in a bottom-up manner: face detection is performed first, then the results are passed to face alignment, and finally to face recognition. In this paper we will see the face recognition using DCT. The face recognition algorithm is based on appearances of Local facial regions that are represented with discrete cosine transform coefficients. This system exploits the feature extraction capabilities of the discrete cosine transform (DCT) and invokes certain normalization techniques that increase its robustness to variations in facial geometry and illumination. The method is tested on two databases first the standard database and second database of real images. High percent of recognition is achieved by varying the threshold.

Full text: IJEIR-265 FINAL.pdf