Journal of Shanghai University（Natural Science Edition）
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ZHANG Ting,ZHU Qiu-yu,ZHU Jun-lin
School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China
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A face recognition method applicable to attendance systems is proposed. Areas of a face image are first segmented from facial frontal and facial profile images that are dynamically captured with a camera. Effective geometric feature points extracted from the face regions are then used to construct feature vectors. These feature vectors are compared with the vector information in the card held by the subject. The algorithm is simple, and a high recognition rate has been achieved in the experiments.
Key words: face recognition, facial frontal and profile image, feature vector
attendance system
ZHANG Ting;ZHU Qiu-yu;ZHU Jun-lin. Efficient Feature Extraction in an Attendance System -Based on Face Recognition[J]. Journal of Shanghai University（Natural Science Edition）.
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URL: https://www.journal.shu.edu.cn/EN/
https://www.journal.shu.edu.cn/EN/Y2006/V13/I3/244
