Providing reliability using potent features of iris recognition

Shreyas Pathak, S. Zafar
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引用次数: 0

Abstract

Aren't you love to substitute password based entry control to avoid having to reset forgotten password and worry about the integrity of your system? Aren't you cognate to rest secure in comfort that your healthcare system does not solely on your social security number as proof of your identity for granting access to your medical records? As a result each of these questions are seemly more and more serious, access to a reliable personal identification is becoming enlarging essential, Traditional method of identification based on occupancy of ID cards or exclusive knowledge like a social security number or a password are not all together reliable. ID cards can be lost forged or misplaced; passwords can be forgotten or compromised. But an iris is apparently connected to its owner. It can no more be borrowed stolen or easily forged. Iris recognition technology may solve this problem since a iris is undeniably connected to its owner. It's nontransferable. The system can then compare scans to records stored in a central or local database or even on a smart card. We propose a model and an algorithm for better bidding of resources, improving the run time and handover reliability to the user.
利用虹膜识别的有效特征提供可靠性
您是否喜欢使用基于密码的输入控制,以避免必须重置忘记的密码并担心系统的完整性?难道你不能安心地休息,因为你的医疗保健系统并不仅仅依靠你的社会安全号码作为你的身份证明来获得你的医疗记录吗?因此,这些问题似乎越来越严重,获得可靠的个人身份证明变得越来越重要,传统的基于身份证或社会保险号或密码等专有知识的身份识别方法并不完全可靠。身份证可能会丢失、伪造或放错地方;密码可能会被遗忘或泄露。但虹膜显然与它的主人有联系。它不能再被借、被偷或轻易伪造。虹膜识别技术可以解决这个问题,因为虹膜不可否认地与它的主人联系在一起。这是不可转让的。然后,系统可以将扫描结果与存储在中央或本地数据库甚至智能卡上的记录进行比较。我们提出了一个模型和算法,以更好地竞标资源,提高运行时间和对用户的切换可靠性。
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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