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@article{162123,
        author = {Keerthana Shankar  and Adnan Ali and Suhas B C and Shrivathsa V  and Punith Kumar G P},
        title = {Insights into Facial Recognition: Unveiling Identity  through Eye Ratio Analysis-ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {8},
        pages = {65-69},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162123},
        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
},
        keywords = {},
        month = {},
        }