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Method of Automatic Face Recognition Based on Fuzzy Multiple Feature Combination

机译:基于模糊多特征组合的人脸自动识别方法

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In general, automatic face recognition technique includes two important steps: detection/location, recognition. In this paper, a method of automatic face recognition based on fuzzy multiple feature combination was proposed. Face detection and location used eigen space and gray image understand processing. The segmented face image was recognized by the methods: Eigenfaces, EigenUpper, EigenTzone and two-order Eigenfaces firstly. The fuzzy integration function was adopted to combine the fuzzy results,which were fuzzy fused from the elementary recognition results, in order to obtain new distance function and the final recognition results were given. The experiments on the Yale and ORL face database show that, the correct recognition rates of the method are all greater than 95% and the fuzzy multiple feature combination method is superior to that of classical eigenfaces method.
机译:通常,自动面部识别技术包括两个重要步骤:检测/定位,识别。提出了一种基于模糊多特征组合的人脸自动识别方法。人脸检测和定位使用本征空间和灰度图像进行理解处理。首先通过特征脸识别,特征脸识别,特征区识别和二阶特征脸识别等方法对分割后的人脸图像进行识别。采用模糊积分函数将模糊结果与基本识别结果进行模糊融合,得到新的距离函数并给出最终的识别结果。在Yale和ORL人脸数据库上的实验表明,该方法的正确识别率均大于95%,并且模糊多特征组合方法优于经典特征脸法。

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