:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
http://TuEngr.com
ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8
FEATURE PEER-REVIEWED ARTICLE
Vol.11(15) (2020) |
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.
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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