Iris Recognition Using Wavelet

khaliq. masood
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引用次数: 25

Abstract

Biometric systems are getting more attention in the present era. Iris recognition is one of the most secure and authentic among the other biometrics and this field demands more authentic, reliable and fast algorithms to implement these biometric systems in real time. In this paper, an efficient localization technique is presented to identify pupil and iris boundaries using histogram of the iris image. Two small portions of iris have been used for polar transformation to reduce computational time and to increase the efficiency of the system. Wavelet transform is used for feature vector generation. Rotation of iris is compensated without shifts in the iris code. System is tested on Multimedia University (MMU) Iris Database and results show that proposed system has encouraging performance.
基于小波的虹膜识别
生物识别系统在当今时代越来越受到关注。虹膜识别是最安全、最真实的生物识别技术之一,该领域需要更多真实、可靠和快速的算法来实时实现这些生物识别系统。本文提出了一种利用虹膜图像的直方图识别瞳孔和虹膜边界的有效定位方法。利用虹膜的两个小部分进行极性变换,减少了计算时间,提高了系统效率。采用小波变换生成特征向量。虹膜的旋转得到补偿,而虹膜代码中没有移位。系统在多媒体大学(MMU)的Iris数据库上进行了测试,结果表明系统具有良好的性能。
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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