Eye Blink Based Biometric Authentication System

G. Umashankar, G. Krishnan, T. Sudhakar, G. Mohandass, T. Devaraju, V. Devika, S. Shaina Banu
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Abstract

Devices are locked and unlocked using biometric security based on eye blinks rather than PINs. On the other hand, using devices in uncontrolled situations makes you extremely vulnerable to spoofing by replay assaults. Stationary facial expression authentication is an instance of a biometric; hackers use the facial images of fictitious individuals to activate devices, leading to unprotected activities and the unintentional disclosure of personal data. In place of static face authentication, we addressed a biometric security system that tracks a person’s eye blinking motions as well as their face. The suggested system gets a stream of images as information by instructing the user to follow an eye-blink pattern. The developed scheme then confirms the individual’s identity using the proper eye-blink pattern.
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基于眨眼的生物识别认证系统
设备的锁定和解锁使用的是基于眨眼而不是pin码的生物识别安全技术。另一方面,在不受控制的情况下使用设备会使您极易受到重放攻击的欺骗。静止面部表情认证是生物识别的一个实例;黑客利用虚构个人的面部图像来激活设备,导致未受保护的活动和无意的个人数据泄露。代替静态面部认证,我们解决了一个生物识别安全系统,它可以跟踪一个人的眨眼动作和他们的脸。建议的系统通过指示用户跟随眨眼模式来获取图像流作为信息。然后,开发出的方案利用适当的眨眼模式来确认个体的身份。
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