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Author Sarode, Jagdish P. ♦ Anuse, Alwin D.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Face Recognition ♦ Pose Variation ♦ Feature Extraction Technique ♦ Different Face Database ♦ Correct Recognition Rate ♦ Zernike Moment ♦ Digital Image ♦ Extracted Feature ♦ Computer Application ♦ Different Pose ♦ Human Face Appearance ♦ Abstract-a Face Recognition System ♦ Knn Classifier ♦ Video Frame
Abstract 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.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article