Selecting good iris images from a sequence frames can efficiently depress the false rejection rate and false acceptance rate of the recognition system.

从序列图像中挑选出符合要求的虹膜图像能有效地降低识别系统的拒识率和误识率。

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As a result, for images with complex backgrounds, a fixed decision boundary skin-color model may lead to high false rejection rate and false detection rate.

在复杂背景情况下，采用固定的阈值边界模型进行肤色分割将导致较大的漏检或误检。

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Through the parameters adjusting, system may achieve certain false acceptance rate and false rejection rate, and can satisfy the basic demand of the field of civilian fingerprint identification.

系统通过参数调整可以达到一定的拒真率和误假率，能够满足民用指纹识别领域的基本要求。

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