Identifying People through Iris Recognition

Suneel , Dr. Ravikumar G K , Ms. Sindhu D

Iris, Biometric, Performance

A biometric framework provides automatic identity proof for an individual based on the individual's unique characteristics or features. As the demand for safe identification grows, and the human iris provides an excellent pattern for identification, the use of low-cost equipment could enable iris recognition to become a new standard in security. The most reliable and exact biometric identification framework known is iris recognition. To evaluate the effectiveness of pupil person identification, pixel density, and acceptance rate, a test case based on open source software can be constructed. The image quality of photographs as data from a collection acquired from a typical camera is surveyed in this research, and the most critical issue areas are identified, as well as the underlying recognition performance. The primary goal of this initiative is to investigate the eye's distinctive iris pattern. Antiquities in the image, such as different types of noise and reflections from light sources, artifacts that add mistakes in the iris recognition process, affect the execution while imaging the iris under less than ideal conditions. The main purpose of this project is to investigate the eye's distinctive iris pattern. Antiquities in the image, such as different types of noise and reflects from light sources, artifacts that add mistakes in the iris recognition task, influence the execution while imaging the iris under less than ideal conditions.

Published Paper   E-Certificate

"Identifying People through Iris Recognition ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 6, page no.513 - 518, June-2022, Available :https://ijsdr.org/papers/IJSDR2206082.pdf

Volume 7 Issue 6, June-2022

Pages : 513 - 518

Paper Reg. ID: IJSDR_200642

Published Paper Id: IJSDR2206082

Downloads: 000347091

Research Area: Engineering

Country: Raichur, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2206082

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2206082

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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