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A comprehensive review on iris image-based biometric system.

Authors :
Winston, J. Jenkin
Hemanth, D. Jude
Source :
Soft Computing - A Fusion of Foundations, Methodologies & Applications; Oct2019, Vol. 23 Issue 19, p9361-9384, 24p
Publication Year :
2019

Abstract

Iris image-based biometric systems are commonly used in applications that demand security, authentication, recognition and faster login access. In solving these real-time problems, the impact of soft computing techniques which employ cognitive skills is very high. Although this system has been commercialized, the scope for improvement is still plenty. This paper introduces the reader to different segments of an iris recognition system and reviews the techniques involved with each segment. It reports on how research articles validate the robustness of an iris-based recognition system. As these systems are fallible, it also shows the vulnerabilities associated with each segment and provides insights to develop much better intelligent and robust techniques which will make the system more accurate. This paper also shows that in spite of versatility of soft computing techniques, it is not fully exploited for iris recognition systems. The present challenges and directions for future research are also discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14327643
Volume :
23
Issue :
19
Database :
Complementary Index
Journal :
Soft Computing - A Fusion of Foundations, Methodologies & Applications
Publication Type :
Academic Journal
Accession number :
138521983
Full Text :
https://doi.org/10.1007/s00500-018-3497-y