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
相关论文
共 50 条
  • [21] Robust fake iris detection
    Park, Kang Ryoung
    ARTICULATED MOTION AND DEFORMABLE OBJECTS, PROCEEDINGS, 2006, 4069 : 10 - 18
  • [22] Presentation Attack Detection for Mobile Device-Based Iris Recognition
    Bartuzi, Ewelina
    Trokielewicz, Mateusz
    IMAGE PROCESSING AND COMMUNICATIONS: TECHNIQUES, ALGORITHMS AND APPLICATIONS, 2020, 1062 : 30 - 40
  • [23] Open Source Iris Recognition Hardware and Software with Presentation Attack Detection
    Fang, Zhaoyuan
    Czajka, Adam
    IEEE/IAPR INTERNATIONAL JOINT CONFERENCE ON BIOMETRICS (IJCB 2020), 2020,
  • [24] Presentation Attack Detection for Iris Recognition: An Assessment of the State-of-the-Art
    Czajka, Adam
    Bowyer, Kevin W.
    ACM COMPUTING SURVEYS, 2018, 51 (04)
  • [25] Comprehensive Study in Open-Set Iris Presentation Attack Detection
    Boyd, Aidan
    Speth, Jeremy
    Parzianello, Lucas
    Bowyer, Kevin W.
    Czajka, Adam
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 18 : 3238 - 3250
  • [26] ROBUST IRIS PRESENTATION ATTACK DETECTION THROUGH STOCHASTIC FILTER NOISE
    Jain, Vishi
    Agarwal, Akshay
    Singh, Richa
    Vatsa, Mayank
    Ratha, Nalini
    2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2022, : 1134 - 1140
  • [27] Synthesizing Iris Images using RaSGAN with Application in Presentation Attack Detection
    Yadav, Shivangi
    Chen, Cunjian
    Ross, Arun
    2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2019), 2019, : 2422 - 2430
  • [28] DC-CNNPAD to Enhance the Detection Rate for Iris Presentation Attack
    Priyanka, V.
    Shyam, Gopal K.
    FOURTH CONGRESS ON INTELLIGENT SYSTEMS, VOL 3, CIS 2023, 2024, 865 : 187 - 198
  • [29] Adversarial learning for a robust iris presentation attack detection method against unseen attack presentations
    Ferreira, Pedro M.
    Sequeira, Ana F.
    Pernes, Diogo
    Rebelo, Ana
    Cardoso, Jaime S.
    2019 INTERNATIONAL CONFERENCE OF THE BIOMETRICS SPECIAL INTEREST GROUP (BIOSIG 2019), 2019, P-296
  • [30] A New Fake Iris Detection Method
    He, Xiaofu
    Lu, Yue
    Shi, Pengfei
    ADVANCES IN BIOMETRICS, 2009, 5558 : 1132 - +