Fake finger-vein image detection based on Fourier and wavelet transforms-Reference-Cited by-同舟云学术

Fake finger-vein image detection based on Fourier and wavelet transforms

Published:2013-09 Issue:5 Volume:23 Page:1401-1413
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Nguyen Dat Tien,Park Young Ho,Shin Kwang Yong,Kwon Seung Yong,Lee Hyeon Chang,Park Kang Ryoung

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference24 articles.

1. An introduction to biometric recognition;Jain;IEEE Trans. Circuits Syst. Video Technol.,2004

2. Handbook of Fingerprint Recognition;Maltoni,2003

3. An evaluation of direct attacks using fake finger generated from ISO templates;Galbally;Pattern Recognit. Lett.,2010

4. Wavelet based fingerprint liveness detection;Moon;Electron. Lett.,2005

5. Power spectrum based fingerprint vitality detection;Coli,2007

Cited by 44 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. Finger Vein Presentation Attack Detection Method Using a Hybridized Gray-Level Co-Occurrence Matrix Feature with Light-Gradient Boosting Machine Model;International Conference on Information Systems Development;2024-09-09

2. Deep learning techniques for biometric security: A systematic review of presentation attack detection systems;Engineering Applications of Artificial Intelligence;2024-03

3. A Novel Method for Finger-Vein Recognition Based on MFAGNET Approach;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

4. Finger Vein Presentation Attack Detection using Block-wise Variance-based Image Quality Assessment;2023 11th International Conference on Information and Communication Technology (ICoICT);2023-08-23

5. Extensive Threat Analysis of Vein Attack Databases and Attack Detection by Fusion of Comparison Scores;Handbook of Biometric Anti-Spoofing;2023