并可检索到具有一定相似性的图像，且类间与类内分形码距离约相差8，类内距离远小于类间距离。

The similarity images can be retrieved and the difference between inter-class and inner-class distance is about 8. The inner-class distance is much smaller than the inter-class distance.

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基于特征手的掌纹特征提取算法是根据类内类间距离准则而设计的特征提取算法。

Eigenpalms based feature extraction is designed according to the rule of in-class distance and between-class distance.

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提出了一种基于类内类间离散度的最小距离分类器设计方法。

Minimum distance classifier based on between-class and within-class scatter is proposed.

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