International Journal of Emerging Science and Engineering (IJESE)
Automated face recognition is an interesting computer vision problem with many commercial and law enforcement applications. Mug shot matching, user verification and user access control, crowd surveillance, enhanced human computer interaction all become possible if an effective face recognition system can be implemented. This paper presents a complete real-time face recognition system consisting of face detection, recognition and a down sampling module using an FPGA. The paper is on subspace techniques, investigating the use of image Pre-processing applied as a preliminary step in order to reduce error rates.