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A Hybrid Face Recognition System for Managing Time of Going to Work and Getting away from Office

机译:用于管理上班时间和离开办公室时间的混合型人脸识别系统

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A handy method of individual identification based on the face recognition was examined aiming at the construction of time management system of going to work and getting away from office. The foreground was easily extracted by the background difference method to acquire the facial image in the fixed place, and the face region was able to be specified by a flesh-colored extraction with the filter. Individual identification was tried by specifying the positions of the face parts, generating the characteristic vector of ten dimensions, and using fuzzy reasoning from the position in the principal ingredient score space. As a result, it turned out that a difficult group of individual identification existed. For such a group, it was confirmed that the support vector machine was effective to identification. Then, an hybrid identification method was proposed.
机译:为了构建上班和下班时间管理系统,研究了一种基于人脸识别的便捷的个人识别方法。通过背景差分法可以轻松提取前景,以获取固定位置的人脸图像,并且可以使用滤镜通过肉色提取来指定人脸区域。通过指定面部部位的位置,生成十维特征向量,并根据主成分评分空间中的位置进行模糊推理,尝试进行个人识别。结果,发现存在困难的个人识别组。对于这样的组,已证实支持向量机对识别有效。然后,提出了一种混合识别方法。

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