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A hybrid method for facial recognition systems

机译:面部识别系统的混合方法

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摘要

This paper proposes a highly robust method for face recognition. Techniques introduced in this work are composed of two stages. Firstly, the feature of face is to be detected by the combined of trace transform and fast active contour. Then, in the second stage, the Hausdorff distance and modified shape context are employed to measure and determine of similarity between models and test images. Our system is evaluated with experiments on the AR, ORL and Yale face database face images. From experimental result, it is show that the high accuracy rate.
机译:本文提出了一种高度鲁棒的人脸识别方法。这项工作中介绍的技术包括两个阶段。首先,要结合跟踪变换和快速有效轮廓来检测人脸特征。然后,在第二阶段,使用Hausdorff距离和修改后的形状上下文来测量和确定模型与测试图像之间的相似性。我们的系统在AR,ORL和Yale人脸数据库人脸图像上进行了实验评估。从实验结果表明,该方法具有较高的准确率。

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