Face Recognition under Pose Variations
نویسندگان
چکیده
Dept. of E & TC Engineering, Maharashtra Institute of Technology, Pune, India Abstract -A Face Recognition system is computer application for automatically identifying or verifying a person from a digital image or a video frame. Due to the change of lighting condition, expression, occlusion, rotation, etc. the human face appearance could change considerably. In this project a model based approach is used. In this approach the Moment based feature extraction techniques (Hu’s Moments and Zernike Moments) are implemented on two different face databases containing different poses of the face. Extracted feature are classified by kNN classifier and Correct Recognition Rate is calculated.
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