基于IRIS的识别与欺骗攻击综述

S. Rani, Swathi Gowroju, Sandeep Kumar
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引用次数: 7

摘要

本文简要介绍了虹膜技术及其应用领域,以及虹膜技术发展至今提出的欺骗攻击方法。虹膜识别和识别算法使用各种模式和数学模型来识别各种应用中的人,例如物联网、POS(销售点)、护照、医疗保健数字化转型、儿童贩卖、活体检测。本文对不同作者的文献进行了比较调查,他们研究了不同的获取方法、定位和规范化方法,以及分析中提出和记录的不同欺骗攻击。
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IRIS based Recognition and Spoofing Attacks: A Review
This paper gives a window browsing of the iris technology, its application areas and the spoofing attacks suggested so far from its initiation. Iris recognition and identification algorithms used various patterns and mathematical models to identify humans for various applications i.e., IoT, POS (Point of Sale), passport, health care digital transformation, child trafficking, liveness detection. This paper gives scope to a comparative survey of the literature of different authors who worked on different acquisition methods, localization and normalization methods, and different spoofing attacks presented and registered in the analysis.
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