Insights into Facial Recognition: Unveiling Identity  through Eye Ratio Analysis-ML

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Keerthana Shankar; Adnan Ali; Suhas B C; Shrivathsa V; Punith Kumar G P

Insights into Facial Recognition: Unveiling Identity through Eye Ratio Analysis-ML

Authors: Keerthana Shankar , Adnan Ali, Suhas B C, Shrivathsa V , Punith Kumar G P

Unique Paper ID: 162123
Volume: 10
Issue: 8
PageNo: 65-69

Keywords: No Keywords Found

Abstract:
The use of facial recognition technologies has become essential for biometric surveillance and verification. This work investigates a new method for facial identification by concentrating on the minute information found in the eyes, particularly by analysing eye ratios. An individual's eye ratio, which is the geometric relationship between several eye traits, is a reliable and distinct means of identification This study explores the theoretical underpinnings of facial recognition while examining current approaches and their drawbacks. The suggested method presents eye ratio analysis as a solid and trustworthy way to identify people in a variety of demographics

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Cite This Article

ISSN: 2349-6002
Volume: 10
Issue: 8
PageNo: 65-69

Insights into Facial Recognition: Unveiling Identity through Eye Ratio Analysis-ML

Available:https://ijirt.org/article?manuscript=162123

11 Jan, 2024

Detection of Phishing Website using Machine Learning

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Journal no 47859

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