Single Classifier-Based Passive System for Source Printer Classification Using Local Texture Features-Reference-Cited by-同舟云学术

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Single Classifier-Based Passive System for Source Printer Classification Using Local Texture Features

Published:2018-07 Issue:7 Volume:13 Page:1603-1614
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Joshi Sharad^ORCID,Khanna Nitin^ORCID

Funder

Board of Research in Nuclear Sciences, Department of Atomic Energy, Government of India

Indian Institute of Technology Gandhinagar

Visvesvaraya Ph.D. Scheme, Ministry of the Electronics & Information Technology, Government of India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/10206/8306323/08166812.pdf?arnumber=8166812

Cited by 30 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. Anti-counterfeiting textured pattern;The Visual Computer;2023-07-01

3. When AI Meets AI - Artificial Intelligence Competition;2023 11th International Conference on Information and Education Technology (ICIET);2023-03-18

4. Implementing Deep Convolutional Neural Networks for QR Code-Based Printed Source Identification;Algorithms;2023-03-14

5. A Texture-Hidden Anti-Counterfeiting QR Code and Authentication Method;Sensors;2023-01-10

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