A Survey of Mobile Iris Recognition Methods for Mobile Security

Authors(2) :-Priyanka Laxman Khambayat, Prof. R. R. Singh

Iris recognition is the most reliable biometric identification system available. Various types of biometrics like face, finger, iris, retina, voice, ear in all these characteristics, the iris recognition gaining an attention because the iris of every person is unique, therefore it never changes during human lifetime and highly protected against damage. Because of this unique feature the iris can be good security measure. This survey covers the review of existing iris recognition methods with a focus on enumerating the open issues that must be addressed in order to be more confident in the performance, security and privacy aspects of iris-based biometric systems. That different methods which are discussed in this paper are ICE(Iris Challenge Evaluation),IREX(Iris Exchange), NICE(Noisy Iris Challenge Evaluation) and MICHE(Mobile Iris Challenge Evaluation).

Authors and Affiliations

Priyanka Laxman Khambayat
Department of Computer Science and Engineering, Hindi Seva Mandal's, Shri Sant Gadge Baba College of Engineering & Technology, Bhusawal Jalgaon, Maharashtra, India
Prof. R. R. Singh
Department of Computer Science and Engineering, Hindi Seva Mandal's, Shri Sant Gadge Baba College of Engineering & Technology, Bhusawal Jalgaon, Maharashtra, India

Iris recognition, Biometrics, ICE, IREX, NICE, MICHE.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 342-344
Manuscript Number : CSEIT1722117
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Priyanka Laxman Khambayat, Prof. R. R. Singh, "A Survey of Mobile Iris Recognition Methods for Mobile Security", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.342-344, March-April-2017.
Journal URL : http://ijsrcseit.com/CSEIT1722117

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