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Blinking characterization from high speed video records. Application to biometric authentication

机译:高速视频记录的闪烁特性。在生物认证中的应用

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摘要

The evaluation of eye blinking has been used for the diagnosis of neurological disorders and fatigue. Despite the extensive literature, no objective method has been found to analyze its kinematic and dynamic behavior. A non-contact technique based on the high-speed recording of the light reflected by the eyelid in the blinking process and the off-line processing of the sequence is presented. It allows for objectively determining the start and end of a blink, besides obtaining different physical magnitudes: position, speed, eyelid acceleration as well as the power, work and mechanical impulse developed by the muscles involved in the physiological process. The parameters derived from these magnitudes provide a unique set of features that can be used to biometric authentication. This possibility has been tested with a limited number of subjects with a correct identification rate of up to 99.7%, thus showing the potential application of the method.
机译:眨眼的评估已用于诊断神经系统疾病和疲劳。尽管有大量文献,但尚未找到客观的方法来分析其运动和动态行为。提出了一种非接触技术,该技术基于眨眼过程和序列的离线处理中眼睑反射光的高速记录。除了获得不同的物理强度外,它还可以客观地确定眨眼的开始和结束:位置,速度,眼睑加速度以及参与生理过程的肌肉所产生的力量,工作和机械冲动。从这些大小得出的参数提供了一组独特的功能,可用于生物特征认证。已经对有限数量的受试者测试了这种可能性,正确识别率高达99.7%,因此显示了该方法的潜在应用。

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