A method of fingermark anti-counterfeiting for forensic document identification-Reference-Cited by-同舟云学术

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A method of fingermark anti-counterfeiting for forensic document identification

Published:2021-12 Issue: Volume:152 Page:86-92
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Zhang Yongliang,Gao Chenhao,Li Zhiwei,Lv Yufan,Zhu Keyi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference19 articles.

1. A wavelet-based approach to detecting liveness in fingerprint scanners;Abhyankar,2004

2. Provable bounds for learning some deep representations;Arora,2014

3. Design and fabrication of 3d fingerprint targets;Arora;IEEE Trans. Inf. Forensics Secur.,2016

4. Gold fingers: 3d targets for evaluating capacitive readers;Arora;IEEE Trans. Inf. Forensics Secur.,2017

5. Batch normalization: Accelerating deep network training by reducing internal covariate shift;Goodfellow,2016

Cited by 7 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. Signed Fingermark Liveness Detection Method Based on Deep Residual Networks and Multimodal Decision Fusion;Applied Sciences;2024-02-28

2. Combining surface‐enhanced Raman spectroscopy and mid‐infrared spectroscopy in a data fusion model to forensic differentiate the electrostatic copying paper;Journal of Raman Spectroscopy;2023-08-28

3. Interpol review of fingermarks and other body impressions (2019 – 2022);Forensic Science International: Synergy;2023

4. Improving automated latent fingerprint detection and segmentation using deep convolutional neural network;Neural Computing and Applications;2022-11-22

5. Biometric presentation attacks: Handcrafted features versus deep learning approaches;Pattern Recognition Letters;2022-11

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