Presentation attack detection system for fake Iris: a review

被引:0
|
作者
Rohit Agarwal
Anand Singh Jalal
机构
[1] GLA University,Department of Computer Engineering & Applications
来源
Multimedia Tools and Applications | 2021年 / 80卷
关键词
Biometric recognition; Iris detection; Presentation attack detection; Anti-spoofing;
D O I
暂无
中图分类号
学科分类号
摘要
The real-time solicitations of biometric systems have been extensively used for several things with the growing necessities of higher security level. There are numerous biometric traits used for person identification. In recent years, iris biometric trait become very popular and efficient in many security applications. However, biometric systems are prone to presentation attack. This attack is carried out by using spoofing of any biometric modality and present as a real trait. The objective of this paper is to present a broad and well thought-out overview of the effort that has been conceded out over the preceding years in the field of iris anti-spoofing. Spoofing of an iris image can be done by paper print and contact lens etc. So, it is essential to discover fake iris up to its core level. In this survey, we have discussed various research work done in the past on the topic of different classes of presentation attack and summarized the state-of-the-art methods in a structural way. We have also discussed the future direction in the field of iris liveness detection.
引用
收藏
页码:15193 / 15214
页数:21
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