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International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
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Comparison of GLCM and IQM for Printer Identification Using Printed Documents

RUBY YADAV, KUSHA GOYAL, RACHANA PANWAR, NITIN KHANNA PG Student, Department of Electronics and Communication, Graphic Era University, Dehradun, India PG Student, Department of Electronics and Communication, Graphic Era University, Dehradun, India PG Student, Department of Electronics and Communication, Graphic Era University, Dehradun, India Professor, Department of Electronics and Communication, Graphic Era University, Dehradun, India

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Abstract: Identification of source of a printed document can be a very important step for the forensic science. Currently there are some techniques like special inks, watermarking, holograms etc. that can be used to secure documents. This paper presents a comparison of gray level occurrence matrix (GLCM) and image quality matrix (IQM) based features for source printer identification using printed pages. The proposed research utilizes texture-based features of the printed document. These features will help us gain knowledge of the printer used for printing that document. We have taken printout of documents from 10 different printers of different brands and model number and obtained average classification accuracies of around 75% and 80%, using GLCM and IQM features respectively.

Keywords: Sensor forensics, Printer identification, Feature Extraction, GLCM, IQM.

How to Cite:

[1] RUBY YADAV, KUSHA GOYAL, RACHANA PANWAR, NITIN KHANNA PG Student, Department of Electronics and Communication, Graphic Era University, Dehradun, India PG Student, Department of Electronics and Communication, Graphic Era University, Dehradun, India PG Student, Department of Electronics and Communication, Graphic Era University, Dehradun, India Professor, Department of Electronics and Communication, Graphic Era University, Dehradun, India, β€œComparison of GLCM and IQM for Printer Identification Using Printed Documents,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)

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