International Journal of Engineering and Technology

The human facial recognition has been attractive research area in computer vision. An existing facialrecognition system is based on still images, facing complex problem in discriminating foreground frombackground cluster without motion information. To overcome this problem the facial recognition invideo motion is projected. The execution work is based on haar cascading classification for facedetection and PCA (Principal Component Analysis) for Facial recognition. The database is trained with100 sample faces of 10 people with different poses, known as positive and negative example ofarbitrary image of the size 20 x20. The experimental results are compared with fisher face andLBP(Local binary pattern) but PCA provides 92.4% accuracy.