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IrisRecognition for Biometrics

Background:

Normal human vision consists of a series of rapid eye movements called saccades, which exhibit ballistic and abrupt motion behavior. By tracking optokinetic motion with displayed stimulus patterns on a screen, a person's visual performance can be measured from their gaze. Eye trackers are used in visual system research, psychology, psycholinguistics, marketing, and even to detect drowsiness in drivers.

The problem:

Capturing and processing biodata in the real world is noisy and tedious. Describe a DL /AI architecture, algorithm, framework, bioinformatics approach, protocol, method, or approach you would take to process and extract human gaze from a camera

Proposed Solution:

For this problem, I will be using the Daugman Algorithm so that I will be able to detect the iris of an eye.

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