Printer source identification by feature modeling in the total variable printer space
Author:
Affiliation:
1. Department of Electrical and Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran
2. Department of Electrical Engineering Shahed University Tehran Iran
Publisher
Wiley
Subject
Genetics,Pathology and Forensic Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/1556-4029.14822
Reference45 articles.
1. Printer Identification Using Supervised Learning for Document Forgery Detection
2. Passive classification of source printer using text-line-level geometric distortion signatures from scanned images of printed documents
3. Printer and scanner forensics
4. Robustness analysis of a passive printer identification scheme for halftone images
5. A Survey of Deep Learning-Based Source Image Forensics
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