Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey

被引:202
作者
Ramachandra, Raghavendra [1 ]
Busch, Christoph [1 ]
机构
[1] Norwegian Univ Sci & Technol NTNU, Dept Informat Secur & Commun Technol, Mail Box 191, NO-2815 Gjovik, Norway
关键词
Biometrics; face recognition; antispoofing; security; attacks; countermeasure; LIVENESS DETECTION; FINGERPRINT; IMAGE;
D O I
10.1145/3038924
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The vulnerability of face recognition systems to presentation attacks (also known as direct attacks or spoof attacks) has received a great deal of interest from the biometric community. The rapid evolution of face recognition systems into real-time applications has raised new concerns about their ability to resist presentation attacks, particularly in unattended application scenarios such as automated border control. The goal of a presentation attack is to subvert the face recognition system by presenting a facial biometric artifact. Popular face biometric artifacts include a printed photo, the electronic display of a facial photo, replaying video using an electronic display, and 3D face masks. These have demonstrated a high security risk for state-of-the-art face recognition systems. However, several presentation attack detection (PAD) algorithms (also known as countermeasures or antispoofing methods) have been proposed that can automatically detect and mitigate such targeted attacks. The goal of this survey is to present a systematic overview of the existing work on face presentation attack detection that has been carried out. This paper describes the various aspects of face presentation attacks, including different types of face artifacts, state-of-the-art PAD algorithms and an overview of the respective research labs working in this domain, vulnerability assessments and performance evaluation metrics, the outcomes of competitions, the availability of public databases for benchmarking new PAD algorithms in a reproducible manner, and finally a summary of the relevant international standardization in this field. Furthermore, we discuss the open challenges and future work that need to be addressed in this evolving field of biometrics.
引用
收藏
页数:37
相关论文
共 50 条
  • [41] Face Recognition Systems Under Morphing Attacks: A Survey
    Scherhag, Ulrich
    Rathgeb, Christian
    Merkle, Johannes
    Breithaupt, Ralph
    Busch, Christoph
    IEEE ACCESS, 2019, 7 : 23012 - 23026
  • [42] Combining Deep and Handcrafted Image Features for Presentation Attack Detection in Face Recognition Systems Using Visible-Light Camera Sensors
    Dat Tien Nguyen
    Tuyen Danh Pham
    Baek, Na Rae
    Park, Kang Ryoung
    SENSORS, 2018, 18 (03)
  • [43] Quality Matters: Boosting Face Presentation Attack Detection With Image Quality Metrics
    Liu, Xinwei
    Wang, Renfang
    Liu, Wen
    Zhang, Liangbin
    Wang, Xiaoxia
    IEEE ACCESS, 2024, 12 : 94654 - 94672
  • [44] Light Field-Based Face Presentation Attack Detection: Reviewing, Benchmarking and One Step Further
    Sepas-Moghaddam, Alireza
    Pereira, Fernando
    Correia, Paulo Lobato
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2018, 13 (07) : 1696 - 1709
  • [45] A survey on 3D mask presentation attack detection and countermeasures
    Jia, Shan
    Guo, Guodong
    Xu, Zhengquan
    PATTERN RECOGNITION, 2020, 98
  • [46] Presentation Attack Detection in Face Biometric Systems Using Raw Sensor Data from Smartphones
    Wasnik, Pankaj
    Raja, Kiran B.
    Raghavendra, R.
    Busch, Christoph
    2016 12TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS), 2016, : 104 - 111
  • [47] Template Inversion Attack Using Synthetic Face Images Against Real Face Recognition Systems
    Shahreza, Hatef Otroshi
    Marcel, Sebastien
    IEEE TRANSACTIONS ON BIOMETRICS, BEHAVIOR, AND IDENTITY SCIENCE, 2024, 6 (03): : 374 - 384
  • [48] DECEIVING FACE PRESENTATION ATTACK DETECTION VIA IMAGE TRANSFORMS
    Agarwal, Akshay
    Sehwag, Akarsha
    Singh, Richa
    Vatsa, Mayank
    2019 IEEE FIFTH INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM 2019), 2019, : 373 - 382
  • [49] Advanced Face Presentation Attack Detection on Light Field Database
    Chiesa, Valeria
    Dugelay, Jean-Luc
    2018 INTERNATIONAL CONFERENCE OF THE BIOMETRICS SPECIAL INTEREST GROUP (BIOSIG), 2018,
  • [50] Face Presentation Attack Detection Using Deep Background Subtraction
    Benlamoudi, Azeddine
    Bekhouche, Salah Eddine
    Korichi, Maarouf
    Bensid, Khaled
    Ouahabi, Abdeldjalil
    Hadid, Abdenour
    Taleb-Ahmed, Abdelmalik
    SENSORS, 2022, 22 (10)