• Iris image quality evaluation is an important step of iris recognition, because the image quality is crucial to recognition effect.

    虹膜图像质量评估是虹膜识别系统中的关键步骤,图像质量的好坏将直接影响后续识别结果的准确性。

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  • 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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  • Iris localization is a very important part of iris recognition.

    虹膜定位是虹膜识别中非常重要的一个环节。

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  • Directions of iris texture play an important role in iris recognition.

    虹膜纹理的方向特征在虹膜识别中具有重要地位。

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  • And using iris recognition software you can start it using only your eyes.

    并使用虹膜识别软件,靠眼睛看就能启动。

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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 iris recognition technology as the biometrics with the best prospect is introduced.

    介绍了现在最有发展前景的生物特征识别技术——虹膜身份识别技术。

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  • The structure of hardware design is rational and reaches the demand of iris recognition.

    此硬件电路结构设计合理,可以达到虹膜识别的硬件要求。

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  • An iris recognition approach based on image phase correlation is presented in this paper.

    该文提出一种基于图像相位谱互相关的虹膜识别方法。

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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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  • In this paper, we proposed a new iris recognition method based on the analysis of local regions.

    提出了一种新的基于局部纹理分析的虹膜识别算法。

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  • A novel iris recognition method based on multi-texture feature fusion is presented in the paper.

    提出一种基于多纹理特征融合的新颖虹膜识别方法。

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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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  • It is important to carry out analysis and match of iris characteristic in automated iris recognition.

    在虹膜自动识别过程中,特征的分析和匹配是非常重要的部分。

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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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  • How to find the true iris position in an iris image is a key problem to be solved in iris recognition.

    如何有效地确定虹膜在图像中的位置,是虹膜识别中需要解决的关键问题之一。

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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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  • In the system of iris recognition, iris localization and iris image quality assessment are very critical.

    虹膜定位以及质量评估是虹膜识别系统中的关键步骤。

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  • The high veracity of iris recognition is the special feature in numerous biometrics recognition technologies.

    虹膜识别技术的高精度使它能够在众多识别技术中占有一席之地。

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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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  • The program, proposed by iris recognition technology company EyeSmart, will establish 100 data collection spots in the city.

    该项目由虹膜识别技术公司释码大华科技有限公司提出,将在武汉建立100个数据采集点。

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  • A sorting method with Fuzzy Inference System (FIS) feature fusion is designed to improve the robustness of iris recognition.

    排序方法模糊推理系统(FIS)特征融合的目的是为了提高虹膜识别的鲁棒性。

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  • Through analyzing the iris feature and combining with different feature extraction methods, we can realize iris recognition.

    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。

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  • In recent years, iris recognition has made progress in technology research and application, and has a wide prospect and market.

    近些年来虹膜识别技术在研究和应用方面都得到了长足的进步,并表现出了广阔的前景和市场。

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  • In recent years, iris recognition has made progress in technology research and application, and has a wide prospect and market.

    近些年来虹膜识别技术在研究和应用方面都得到了长足的进步,并表现出了广阔的前景和市场。

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