| 人脸识别考勤系统中有效人脸特征提取 |
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| 引用本文： | 张婷,朱秋煜,朱军林.人脸识别考勤系统中有效人脸特征提取[J].上海大学学报(自然科学版),2006,13(3):244-248. |
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| 作者姓名： | 张婷 朱秋煜 朱军林 |
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| 作者单位： | 上海大学 通信与信息工程学院， 上海 200072 |
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| 摘 要： | 提出了一种适用于考勤系统的人脸识别算法.该算法首先从2台摄像机实时采集的正、侧面图像中分割出人脸区域，然后对图像中的人脸进行有效几何特征的提取，并构造出特征矢量与持卡者所持有的卡片中信息进行比对.经实验验证本系统算法简单、定位准确、识别率较高.
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| 关 键 词： | 考勤系统 人脸识别 特征矢量 正、侧面图像 |
| 文章编号： | 1007-2861（2006）03-0244-05 |
| 收稿时间： | 2005-07-25 |
| 修稿时间： | 2005-07-25 |
Efficient Feature Extraction in an Attendance System Based on Face Recognition |
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| 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),2006,13(3):244-248. |
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| Authors: | ZHANG Ting ZHU Qiu-yu ZHU Jun-lin |
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| Institution: | School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China |
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| Abstract: | 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. |
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| Keywords: | attendance system face recognition facial frontal and profile image feature vector |
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