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Statistical Measures for Differentiation of Photocopy from Print technology Forensic Perspective

by M. Uma Devi, C. Raghvendra Rao, M. Jayaram
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 15
Year of Publication: 2014
Authors: M. Uma Devi, C. Raghvendra Rao, M. Jayaram
10.5120/18450-9792

M. Uma Devi, C. Raghvendra Rao, M. Jayaram . Statistical Measures for Differentiation of Photocopy from Print technology Forensic Perspective. International Journal of Computer Applications. 105, 15 ( November 2014), 1-7. DOI=10.5120/18450-9792

@article{ 10.5120/18450-9792,
author = { M. Uma Devi, C. Raghvendra Rao, M. Jayaram },
title = { Statistical Measures for Differentiation of Photocopy from Print technology Forensic Perspective },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 15 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number15/18450-9792/ },
doi = { 10.5120/18450-9792 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:37:45.218225+05:30
%A M. Uma Devi
%A C. Raghvendra Rao
%A M. Jayaram
%T Statistical Measures for Differentiation of Photocopy from Print technology Forensic Perspective
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 15
%P 1-7
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Forensic document examination plays an important role in providing the evidence to the court related to disputed documents. Emerging print technologies are posing challenges to document examiner in identification of source of document. Recent trends suggest the need for good preprocessors and post analysing tools which characterize printed text for identification of print technology. Each printing technology differs in their process of placing marking material on the target. Image analysis methods along with statistical tools are applied to study class characteristics of document for identifying the source of the document. This paper focuses on frequently used word like 'the' as test sample for characterizing printed text. The proposed algorithm is based on analysis of histogram of printed text image. Statistical measures skewness and kurtosis of histogram are used as features for distinguishing inkjet print from its photocopy.

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Index Terms

Computer Science
Information Sciences

Keywords

Histogram Skew Kurtosis

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