提取有效的特征用于纹理描述和分类一直是纹理分析的难点。
Extracting effective features for texture description and classification is always a difficult problem in texture analysis.
通过分析研究虹膜上丰富的纹理特征，结合不同的特征提取方法和分类器可以实现虹膜的身份认证。
Through analyzing the iris feature and combining with different feature extraction methods, we can realize iris recognition.
在基于小波的纹理分类算法的基础上，提出了逐点特征加权和活动窗口算法，使小波纹理分析能够用于高分辨率遥感影像的分类。
This paper discusses the shortage of conventional algorithms of texture classification based on wavelet transform, presents two improved approaches of point feature weighting and smart windows.
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