• The experiment results show that this method is fast and effective in evaluation of serial iris images and it also improves the efficiency of the iris recognition system.

    实验证明,用该方法可以快速、有效地鉴定序列虹膜图像的质量,提高该身份识别系统的工作效率。

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  • The experiment results show that this evaluation system can reflect the real quality of images and thus significantly improve the overall performance of the iris recognition system.

    实验结果表明,该质量评价方法反映了虹膜图像的真实质量水平,能够显著提高识别系统的整体性能。

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  • In an iris recognition system, the major research object is the iris texture.

    虹膜识别系统中,主要研究的对象是虹膜区域的纹理。

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  • The speed and accuracy of iris localization is crucial in an iris recognition system.

    快速、准确地定位虹膜是虹膜识别系统的关键。

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  • The recognition rate of iris recognition system is severely affected by poor-quality images.

    虹膜识别系统中,劣质的图像严重影响虹膜识别系统的识别率。

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  • The quality of iris image is the key point to affect the accuracy of iris recognition system.

    虹膜图像质量是影响虹膜识别系统精度的关键。

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  • Most accurate iris locating algorithm can't satisfy the time requirement of iris recognition system.

    目前主流的虹膜定位算法在速度上都不能满足虹膜识别系统的实时要求。

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  • At last, the appraisal of iris image quality on the iris recognition system is discussed in the paper.

    最后,在虹膜识别系统上进行虹膜图像质量的评价工作。

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  • This paper designs a portable embedded iris recognition system based on digital signal processor (DSP).

    本文设计了一种可便携使用的基于数字信号处理器(dsp)的嵌入式虹膜识别系统。

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  • A typical iris recognition system includes iris imaging, iris location, iris recognition and pattern matching.

    虹膜识别系统主要包括了图像采集、虹膜定位、虹膜识别和模式匹配四个部分。

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  • During the image acquisition process of an automatic iris recognition system, unqualified iris images are probably rejected (Failure to Enroll).

    在自动虹膜识别系统的图像采集过程中,不符合标准的虹膜图像可能被系统拒绝登录(“注册失败”)。

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  • In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition and this paper focuses on the last issue.

    通常一个典型的虹膜识别系统包括虹膜成像、活体检测和虹膜识别,本文把重点放在最后一部分。

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  • Experimental results prove that the proposed approach can be used to protect iris feature templates and enhance the security of the iris recognition system itself.

    实验表明该数据隐藏方法能够有效保护虹膜特征模板数据,进而增强虹膜识别系统自身的安全。

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  • Iris recognition system includes iris image acquiring, image preprocessing, feature extraction, coding and recognition and so on.

    虹膜识别系统由虹膜图像采集、虹膜图像预处理、特征提取、编码与识别等部分构成。

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  • Iris recognition system is made up by iris localization component, iris image preprocessing, iris feature extraction and classification.

    虹膜识别系统一般可由虹膜定位、图像预处理、虹膜特征提取和分类识别几个部分组成。

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  • Iris recognition system consists of image capturing, iris segmentation, iris normalization and enhancement, feature extraction and matching modules.

    虹膜识别系统一般由图像采集、虹膜分割、归一化及图像增强、特征提取及编码和匹配识别几个部分组成。

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  • Iris recognition system consists of image capturing, iris segmentation, iris normalization and enhancement, feature extraction and matching modules.

    虹膜识别系统一般由图像采集、虹膜分割、归一化及图像增强、特征提取及编码和匹配识别几个部分组成。

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