A NEW APPROACH TO IRIS RECOGNITION

WANG ZHAOBIN; MA YIDE; XU GUANGZHU

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A NEW APPROACH TO IRIS RECOGNITION

机译：虹膜识别的新方法

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Iris recognition technology relates to computer vision, pattern recognition, statistical inference, and optics etc. Because the randomness of iris patterns has very high dimensionality, it is difficult to find an efficient approach to iris recognition. The intersecting cortical model (ICM) is good at directly extracting important information from image. A new method of iris recognition is proposed for the first time based on the ICM. With the method, a series of binary images are firstly produced from iris image through the ICM. Entropy sequence can be gained from these binary images. And then phase information is obtained from entropy sequence. This phase information is taken as feature vector because of its uniqueness. The results show that our method is feasible, potential and effective in obtaining feature from iris image.

机译：虹膜识别技术涉及计算机视觉、模式识别、统计推断和光学等。由于虹膜图案的随机性具有非常高的维数，因此很难找到一种有效的虹膜识别方法。相交皮层模型（ICM）擅长直接从图像中提取重要信息。首次提出了一种基于ICM的虹膜识别新方法。通过该方法，首先通过ICM从虹膜图像生成一系列二值图像。熵序列可以从这些二进制图像中获得。然后从熵序列中获得相信息。由于其唯一性，该相信息被视为特征向量。结果表明，该方法在虹膜图像特征获取方面具有可行性、潜力和有效性。

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来源
《International journal of information acquisition》 |2007年第1期|69-76|共8页
作者
WANG ZHAOBIN; MA YIDE; XU GUANGZHU;
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作者单位

School of Information Science and Engineering, Lanzhou University Lanzhou City, 730000, China;

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原文格式 PDF
正文语种英语
中图分类计算技术、计算机技术;
关键词
Iris recognition; the intersecting cortical model; feature extraction;

机译：虹膜识别;相交的皮层模型;特征提取;

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A NEW APPROACH TO IRIS RECOGNITION

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