:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
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ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8
FEATURE PEER-REVIEWED ARTICLE
Vol.11(15) (2020) |
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Iris Pattern Recognition: A Quantitative Review on How to Improve Iris-Based Pattern Recognition Security System
G Malathi (School of Computing Science and Engineering, Vellore Institute of Technology, Chennai. INDIA ),
Dinesh Mavaluru, Karthik Srinivasan (College of Computing and Informatics, Saudi Electronic University, SAUDI ARABIA ),
Jayabrabu Ramakrishnan (College of Computer Science and Information Technology, Jazan University, SAUDI ARABIA ).
Disciplinary: Ophthalmology, Computer Science and Informatics Engineering.
DOI: 10.14456/ITJEMAST.2020.305
Keywords: Iris pattern recognition; Unimodal Biometrics; Multi-model Biometrics; Score-level fusion; Orientation recognition; Iris centre.
AbstractThe biometrics is a reliable authentication process for identifying individuals. Iris pattern recognition is a booming sector in biometric which has high accuracy in identification/authentication. The iris-based security system required an infra-red camera or video camera for the authentication process. This paper reviews several well-known Iris pattern recognition techniques that are used for authentication by biometric identities of iris. This work also discusses facts and downsides in the existing iris pattern recognition techniques.Paper ID: 11A15Q
Cite this article:
G Malathi, G., Mavaluru, D., Srinivasan, K., and Ramakrishnan, J.(2020). Iris Pattern Recognition: A Quantitative Review on How to Improve Iris-Based Pattern Recognition Security System. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 11(15), 11A15Q, 1-13. http://doi.org/10.14456/ITJEMAST.2020.305
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Other issues:
Vol.11(14)(2020)
Vol.11(13)(2020)
Vol.11(12)(2020)
Vol.11(11)(2020)
Vol.11(10)(2020)
Vol.11(9)(2020)
Vol.11(8)(2020)
Vol.11(7)(2020)
Vol.11(6)(2020)
Vol.11(5)(2020)
Vol.11(4)(2020)
Vol.11(3)(2020)
Vol.11(2)(2020)
Vol.11(1)(2020)
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