Data-Driven Feature Characterization Techniques for Laser Printer Attribution

Author:

Ferreira AnselmoORCID,Bondi Luca,Baroffio Luca,Bestagini PaoloORCID,Huang JiwuORCID,dos Santos Jefersson A.,Tubaro Stefano,Rocha AndersonORCID

Funder

NSFC

Shenzhen Research and Development Program

Brazilian National Council for Scientific and Technological Development

São Paulo Research Foundation-FAPESP

DéjàVu Project, Minas Gerais Research Foundation-FAPEMIG

Brazilian Coordination for the Improvement of Higher Level Education Personnel through the DeepEyes Project

Microsoft Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Cited by 46 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. Printer source identification of quick response codes using residual attention network and smartphones;Engineering Applications of Artificial Intelligence;2024-05

3. Distortion Model-Based Spectral Augmentation for Generalized Recaptured Document Detection;IEEE Transactions on Information Forensics and Security;2024

4. Local Polar Pattern for Source Color Laser Printer Identification;IEEE Access;2024

5. CDP-Sim: Similarity Metric Learning to Identify the Fake Copy Detection Patterns;2023 IEEE International Workshop on Information Forensics and Security (WIFS);2023-12-04

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