Real time eye based Password Authentication by Eye Blinking System
DOI:
https://doi.org/10.47392/irjash.2023.S001Keywords:
Corona Virus, Chest XRay, Convolutional neural networks, DetectionAbstract
The focus of this work is on PIN entering utilising the blinking approach,
for user authentication and security, personal identification numbers are
employed. PIN-based password verification users must input a physical PIN
that can be cracked or hacked using shoulder surfing PIN entry process using
eye blinks entering does not provide or easily leave any footprints behind, making it a more secure password entry option. Locating the blinks of an eye over
creating picture frames in a consecutive order the Personal identification number is referred to as eye blinks-based authentication. This research shows how
to resist shoulder surfing and thermal tracking attacks in real time. Today’s
authentication technologies, such as passwords, fingerprint scanners, and PIN
entry, are all based on one-time, static authentication mechanisms that are
vulnerable to assaults. The Real-time eye monitoring and password authentication methods are being used has a greater chance of being reliable, In this
case, the system for Eye Detection and Tracking must be secure and limited.
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