Efficient Biometric Iris Recognition Based on Iris Localization Approach

M. Al-Ani
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引用次数: 3

Abstract

Biometric recognition is an emerging technology that has attracted more attention in recent years. This issue uses physiological and behavioral characteristics to identify an individual. The iris recognition approaches are among the most accurate biometric technologies with immense potential for use in global security applications. The purpose of this research is to implement an efficient approach to treat the diseased eye images in order to verify the second iris examination for the same person by inserting an improvement step to the iris recognition system. This step makes a correction of boundary around pupil and removes fraction regions. This approach demonstrates its ability to detect the inner limit of the iris. The obtained results shows that 90% success in the detection diseased eye images, which makes the iris recognition system more accurate and safe.
基于虹膜定位方法的高效生物特征虹膜识别
生物特征识别是近年来备受关注的一项新兴技术。这个问题使用生理和行为特征来识别一个人。虹膜识别方法是最精确的生物识别技术之一,在全球安全应用中具有巨大的潜力。本研究的目的是通过在虹膜识别系统中插入改进步骤,实现一种有效的方法来处理病变眼图像,以验证同一个人的第二次虹膜检查。这一步对瞳孔周围的边界进行校正,去除分数区域。该方法具有检测虹膜内边界的能力。实验结果表明,虹膜识别系统对病变眼图像的检测成功率达到90%,提高了虹膜识别系统的准确性和安全性。
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21
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12 weeks
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