Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@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 = {}, }
Cite This Article
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry