A hybridized matching algorithm is proposed based on edge feature and correlation coefficient method after analyzing traditional grey-based algorithms and feature-based algorithms.
分析了传统的基于灰度和基于特征的匹配算法，提出了一种基于边缘特征和相关系数的新匹配算法。
In this paper, we use edge detection, integral projection and template matching to compute the dates of the face feature, and have acquired a higher veracity.
本文利用边缘检测、积分投影及模板匹配等相结合的方法，比较准确的获得了人脸各个特征部位的数据。
Using Shape edge template matching technique to find the feature point and abstract the area of ROI automatically, calculate number of the pixels that the connected areas have to remove noise further.
提出了利用图形边缘模板匹配搜寻特征点自动提取ROI 区域，通过计算连通区域包含像素进一步去除噪声的方法。
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