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An Elliptic Curve Algorithm for Iris Pattern Recognition

机译：虹膜模式识别的椭圆曲线算法

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This paper presents an iris recognition system with a self-developed elliptic curve algorithm or hash. The system was written in Python with the OpenCV library. This iris recognition system is faster than standard systems because the extraction of the iris was done on a grayscale image. To test the elliptic curve hash, iris recognition system, and computation time, images from the UBIRIS database were run through the system, and their hashes were collected. Statistical analysis shows that the elliptic curve hash has more entropy and is quicker than the standard MD5 and SHA-1 hashes at an alpha of 0:01. Furthermore, the system has an accuracy rate of 99:5%.
机译：本文提出了一种具有自行开发的椭圆曲线算法或哈希的虹膜识别系统。该系统是用Python和OpenCV库编写的。该虹膜识别系统比标准系统更快，因为虹膜的提取是在灰度图像上完成的。为了测试椭圆曲线的哈希值，虹膜识别系统和计算时间，将UBIRIS数据库中的图像遍历整个系统，并收集其哈希值。统计分析表明，椭圆曲线哈希具有更大的熵，并且比标准MD5和SHA-1哈希（α值为0:01）具有更快的熵。此外，该系统的准确率为99：5％。

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