Comparative Study Between Different Rectangle Iris Templates

Safaa S. Omran, A. Al-Hilali
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引用次数: 1

Abstract

The iris recognition is the best biometric method that used today for distinguish between users. The iris recognition system is providing to distinguish between human based on unique features located inside irises. Ridge-Energy-Direction (RED) algorithm is used for extracting iris features from the rectangle iris template. This research presents comparative between four different ways of choosing iris region of human or identifications and tries to locate the best way among them. These ways are tested on two different databases (CASIA V1 and CASIA Interval). A full design of iris recognition system is made from segmentation, normalization, features extraction, and matching to test these rectangle iris templates. This paper recommends choosing the iris region that near to the pupil likes quarter iris region template, since this iris region template has small sizes among other templates in terms of pixels and gives 100% accuracy in identification and verification.
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不同矩形虹膜模板的比较研究
虹膜识别是目前用于区分用户的最好的生物识别方法。虹膜识别系统是根据虹膜内的独特特征来区分人的。采用Ridge-Energy-Direction (RED)算法从矩形虹膜模板中提取虹膜特征。本研究对四种不同的人体虹膜区域选择方法进行了比较,并试图从中找到最佳的选择方法。这些方法在两个不同的数据库(CASIA V1和CASIA Interval)上进行了测试。从分割、归一化、特征提取、匹配等几个方面对矩形虹膜模板进行了完整的虹膜识别系统设计。本文建议选择靠近瞳孔的虹膜区域,如四分之一虹膜区域模板,因为该虹膜区域模板在其他模板中像素大小较小,识别验证准确率为100%。
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