A way of face detection integrating image gray entropy features and SVM classifier is presented.

提出了一种基于支持向量机并综合图像灰度值和灰度熵的人脸检测方法。

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SVM classifier is constructed to train the selected features from the target and surrounding background.

最后用SVM分类器用来训练从目标和背景中获得的经过筛选的特征。

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Experimental results show that confidence measures and the SVM classifier are effective for utterance verification.

实验结果表明，所提出的置信特征和支持向量机分类器取得了很好的确认效果。

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