Preliminary Study on Inkjet Classification Based on Satellite Droplet Distribution

Joerg A. Greis

doi:10.69525/jasqde.235

Preliminary Study on Inkjet Classification Based on Satellite Droplet Distribution

Journal of the American Society of Questioned Document Examiners

Volume 20 (2017): Issue 1

By: Joerg A. Greis

Open Access

|Jun 2017

Abstract

While there have been several approaches to identify originating printers of questioned documents by the use of texture analysis and pattern recognition most of these articles did not target documents that have been produced by inkjet printers. In this paper a new method for the statistical analysis of the spatial distribution of satellite droplets on inkjet printed documents is presented. The drops are connected to a graph and global graph features are calculated to build a profile vector of the distribution which is then classified. While it turns out that differentiating individual devices is not possible the classification per model yields an accuracy of approximately 84%.

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Articles in this issue

DOI: https://doi.org/10.69525/jasqde.235 | Journal eISSN: 1524-7287

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Language: English

Page range: 3 - 11

Published on: Jun 1, 2017

Published by: American Society of Questioned Document Examiners

In partnership with: Paradigm Publishing Services

Keywords:

Document examination,

Drop-On-Demand inkjet,

device classification

© 2017 Joerg A. Greis, published by American Society of Questioned Document Examiners
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 20 (2017): Issue 1