生物识别通过视网膜扫描和活体检测使用散斑对比成像

Nazariy K. Shaydyuk, T. Cleland
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引用次数: 22

摘要

目前的生物识别方式包括指纹、手掌、声音、面部、门、虹膜甚至DNA识别。另一种已知的生物识别技术涉及使用视网膜情绪血管模式匹配来识别受试者。然而,无论何种方式,都有一个内在的要求,即动态检测,以使采集系统不易被欺骗。视网膜扫描系统的一个可能的解决方案是验证视网膜血管中的血液-活组织的明确特征。激光散斑对比成像是一种常用的血流检测方法,可用于明确确认活动性。散斑模式的动力学可以统计量化,并解释为有和没有流动的区域。利用视网膜血管系统的模型,本文回顾了斑点对比成像,因为它适用于活体验证的手段血流检测视网膜为基础的生物识别系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biometric identification via retina scanning with liveness detection using speckle contrast imaging
Current biometric modalities include fingerprint, palm, voice, face, gate, iris and even DNA recognition. Another known biometric technique involves subject identification using retinal Mood vasculature pattern matching. Regardless of the modality, however, there is an inherent requirement for liveness detection so as to make the acquisition system less susceptible to deception. One possible solution for retina scanning systems is verification of blood llow in the retinal vessels - the definite feature of live tissue. Laser speckle contrast imaging is a common method of blood flow detection and could be used to explicitly confirm liveness. The dynamics of the speckle pattern can be statistically quantified and interpreted as the regions with and without flow. Using a model of the retinal vasculature, this paper reviews speckle contrast imaging as it applies to liveness verification by means of blood flow detection in retina-based biometric systems.
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