An optimized Retina Recognition Technique Based on PSO Inspired Algorithm
Keywords:An Optimized Recognition Technique, Retina Patterns, PSO Inspired Algorithm
Retina Recognition techniques capture and analyze the vascular patterns on the thin nerve on the backs of an eyeball which process light getting in the pupil. Retinal patterns are extremely distinguishing traits; it cannot be gotten or stolen since there are no two persons have similar patterns of retinal, as well as the features extracted from the retinal image are the most stable and reliable than other biometric features. Therefore, the retina is selected as a robust source in the proposed recognition techniques. In this paper, an optimized technique of retina recognition based on an inspired algorithm is proposed for the authentication purpose in which particle swarm optimization (PSO) inspired algorithm is utilized for extracting features from retinal images. The obtained results from this work declared that the PSO provides an optimized performance with 100% accuracy and 3.5 seconds time-consuming
How to Cite
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Re use and mixing of content policy- We follow Creative Commons Licence Policy. We follow CC BY. Please refer below for all details
This license lets others distribute, remix, adapt, and build upon our work, even commercially, as long as they credit us for the original creation.
- The journal allows readers to read, download, copy, distribute, print, search, or link to the full texts of its articles and allow readers to use them for any other lawful purpose.
- The journal allows the author(s) to hold the copyright without restrictions.
- The journal allows the author(s) to retain publishing rights without restrictions