Geometric distortion signatures for printer identification
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4912736/4959496/04959855.pdf?arnumber=4959855
Cited by 32 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. Source printer identification from document images acquired using smartphone;Journal of Information Security and Applications;2024-08
2. Classification of Inkjet Printers based on Droplet Statistics;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
3. The State-of-the-art Technique for Determining the Identity and Uniqueness of Common Color Laser Printouts by Coded Dot Matrix Patterns;Arab Journal of Forensic Sciences and Forensic Medicine;2023-06-06
4. Attacking and Defending Printer Source Attribution Classifiers in the Physical Domain;Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges;2023
5. Document forgery detection using source printer identification: A comparative study of text‐dependent versus text‐independent analysis;Expert Systems;2022-05-12
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