Iris Liveness Detection for Biometric Authentication: A Systematic Literature Review and Future Directions

Author:

Khade Smita,Ahirrao SwatiORCID,Phansalkar ShraddhaORCID,Kotecha KetanORCID,Gite Shilpa,Thepade Sudeep D.ORCID

Abstract

Biometrics is progressively becoming vital due to vulnerabilities of traditional security systems leading to frequent security breaches. Biometrics is an automated device that studies human beings’ physiological and behavioral features for their unique classification. Iris-based authentication offers stronger, unique, and contactless identification of the user. Iris liveness detection (ILD) confronts challenges such as spoofing attacks with contact lenses, replayed video, and print attacks, etc. Many researchers focus on ILD to guard the biometric system from attack. Hence, it is vital to study the prevailing research explicitly associated with the ILD to address how developing technologies can offer resolutions to lessen the evolving threats. An exhaustive survey of papers on the biometric ILD was performed by searching the most applicable digital libraries. Papers were filtered based on the predefined inclusion and exclusion criteria. Thematic analysis was performed for scrutinizing the data extracted from the selected papers. The exhaustive review now outlines the different feature extraction techniques, classifiers, datasets and presents their critical evaluation. Importantly, the study also discusses the projects, research works for detecting the iris spoofing attacks. The work then realizes in the discovery of the research gaps and challenges in the field of ILD. Many works were restricted to handcrafted methods of feature extraction, which are confronted with bigger feature sizes. The study discloses that dep learning based automated ILD techniques shows higher potential than machine learning techniques. Acquiring an ILD dataset that addresses all the common Iris spoofing attacks is also a need of the time. The survey, thus, opens practical challenges in the field of ILD from data collection to liveness detection and encourage future research.

Publisher

MDPI AG

Subject

General Engineering

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AEGANAuth: Autoencoder GAN-Based Continuous Authentication With Conditional Variational Autoencoder Generative Adversarial Network;IEEE Internet of Things Journal;2024-08-15

2. Prevention of Spoofing Attack Through Fingerprint Liveness Detection System;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

3. Generate And Evaluate Encryption Keys Obtained From Iris Biometric Data;2024 21st International Multi-Conference on Systems, Signals & Devices (SSD);2024-04-22

4. Towards Understanding Trust in Self-adaptive Systems;Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems;2024-04-15

5. Iris Liveness Detection using Fusion of Thepade SBTC and Triangle Thresholding Features with Machine Learning Algorithms;International Research Journal of Multidisciplinary Technovation;2024-01-30

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