Fingerprint Liveness Detection Schemes: A Review on Presentation Attack-Reference-Cited by-同舟云学术

Fingerprint Liveness Detection Schemes: A Review on Presentation Attack

Published:2022-01-06 Issue:2 Volume:10 Page:217-240
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Ametefe D. S.¹^ORCID,Sarnin S. S.¹,Ali D. M.¹,Zaheer M. Z.²

Affiliation:

1. Wireless Communication Technology Group (WiCOT), College of Engineering, Department of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor. Malaysia

2. University of Science and Technology, Electronics and Telecommunications Research Institute, Daejeon, South Korea

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2021.2012826

Reference113 articles.

1. Fingerprint Liveness Detection Using Local Ridge Frequencies and Multiresolution Texture Analysis Techniques

2. Integrating a wavelet based perspiration liveness check with fingerprint recognition

3. Fake fingerprint liveness detection based on micro and macro features

4. Evaluation of serial and parallel multibiometric systems under spoofing attacks

5. Biometric Liveness Detection: Challenges and Research Opportunities

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2. Enhancing Fingerprint Authentication: A Systematic Review of Liveness Detection Methods Against Presentation Attacks;Journal of The Institution of Engineers (India): Series B;2024-05-12

3. Enhanced fingerprint pattern classification: Integrating attention modules with lightweight deep learning models;Engineering Reports;2024-04-15

4. An Interpretable Siamese Attention Res‐CNN for Fingerprint Spoofing Detection;IET Biometrics;2024-01

5. A minutiae-based method to store and compare fingerprints;International Journal of Biometrics;2024