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Soft Computing
Published in: Soft Computing 19/2019

31-08-2018 | Focus

A comprehensive review on iris image-based biometric system

Authors: J. Jenkin Winston, D. Jude Hemanth

Published in: Soft Computing | Issue 19/2019

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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.
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Metadata
Title
A comprehensive review on iris image-based biometric system
Authors
J. Jenkin Winston
D. Jude Hemanth
Publication date
31-08-2018
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 19/2019
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3497-y

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