Building an expert system for printer forensics: A new printer identification model based on niching genetic algorithm-Reference-Cited by-同舟云学术

Building an expert system for printer forensics: A new printer identification model based on niching genetic algorithm

Published:2020-08-19 Issue:2 Volume:38 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Darwish Saad M.¹^ORCID,ELgohary Hany M.²

Affiliation:

1. Department of Information Technology, Institute of Graduate Studies and Research Alexandria University Alexandria P.O. Box 832 Egypt

2. Expert in Counterfeiting and Forgery, Forensic Medicine Service Ministry of Justice Cairo Egypt

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12624

Reference36 articles.

1. Classification of copper alloys microstructure using image processing and neural network;Abouelatta O.;Journal of American Science,2013

2. Ali G. Mikkilineni A. Chiang P. Aleah J. Chiu G. &Delp E.(2003). Intrinsic and extrinsic signatures for information hiding and secure printing with electrophoto‐graphy devices. In International Conference on Digital Printing Technologies Louisiana (pp. 511–515).

3. Printer and scanner forensics

4. Chiang P. Mikkilineni A. Delp E. Allebach J. &Chiu G.(2006). Extrinsic signatures embedding and detection in electro photo‐graphic halftone images through laser intensity modulation. In International Conference on Digital Printing Technologies USA (pp. 432–435).

5. Color laser printer forensic based on noisy feature and support vector machine classifier

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