Passive classification of source printer using text-line-level geometric distortion signatures from scanned images of printed documents

Author:

Jain HardikORCID,Joshi SharadORCID,Gupta Gaurav,Khanna NitinORCID

Funder

Board of Research in Nuclear Sciences

Ministry of Electronics and Information technology

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Cited by 13 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. Progressive Supervision for Tampering Localization in Document Images;Communications in Computer and Information Science;2023-11-26

4. Exploration and Research of Laser Printing Document Traceability Methods in the Context of Big Data;Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023);2023-09-26

5. Text-Independent Source Identification of Printed Documents using Texture Features and CNN Model;Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022);2023

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