Identification of print technology based on homogeneous regions of image

Authors:
Umadevi Maramreddi;Arun Agarwal;C. Raghavendra Rao
Affiliations:
Department of Computers and Information Science, University of Hyderabad, Hyderabad, Andhra Pradesh, India;Department of Computers and Information Science, University of Hyderabad, Hyderabad, Andhra Pradesh, India;Department of Computers and Information Science, University of Hyderabad, Hyderabad, Andhra Pradesh, India
Venue:
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Year:
2011

Citing 3
Cited 0

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Abstract

Tampering of documents is increasing monotonically by posing challenges to forensic scientist. There is a great need to develop alternative solutions for forensic characterization of printers. This paper analyses documents printed by various printers and characterizes them for identification purposes. Present study focuses on developing a method that characterizes print technology based on spatial variability. Homogeneous colour region of images are taken as sample and the data generated is taken as input to Reduct based Decision Tree (RDT), which gives rules to identify the source printer for the given test data. This paper provides GVMPT algorithm for print technology identification and it also demonstrates the influence of the choice of parameters in capturing the print technology of document based on image region.