An Elliptic Curve Algorithm for Iris Pattern Recognition

Sasank Venkata Vishnubhatla
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引用次数: 2

Abstract

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%.
椭圆曲线虹膜模式识别算法
本文提出了一种基于椭圆曲线算法的虹膜识别系统。该系统是用Python和OpenCV库编写的。由于虹膜的提取是在灰度图像上完成的,因此该虹膜识别系统比标准系统更快。为了测试椭圆曲线哈希、虹膜识别系统和计算时间,我们在系统中运行UBIRIS数据库中的图像,并收集其哈希值。统计分析表明,椭圆曲线哈希比标准MD5和SHA-1哈希具有更多的熵,并且速度更快,alpha值为0:01。此外,该系统的准确率为99:5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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