实验结果表明：我们的特征抽取和识别方法非常有效，由此设计的分类器具有较高的识别率。

Experimental results have shown that our feature extraction and recognition method is very effective, and the designed classifier has high recognition performance.

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人脸识别一般分为人脸检测、特征抽取和模式分类三个部分。

Face recognition normally be regarded as have three processes that are face detection, features extraction and pattern classification.

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给出一种抽取纹理特征的算法，该算法实时性强，适于在线遥感图像分类。

This paper proposes a fast algorithm for texture feature extraction. The new algorithm is suitable for remote image classification on line.

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