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A Survey of Image Processing Techniques for Identification of Printing Technology in Document Forensic Perspective

© 2010 by IJCA Journal
Number 1 - Article 7
Year of Publication: 2010
M. Uma Devi
C. Raghavendra Rao
Arun Agarwal

Uma M Devi, Raghavendra C Rao and Arun Agarwal. Article:A Survey of Image Processing Techniques for Identification of Printing Technology in Document Forensic Perspective. IJCA,Special Issue on RTIPPR (1):9–15, 2010. Published By Foundation of Computer Science. BibTeX

	author = {M. Uma Devi and C. Raghavendra Rao and Arun Agarwal},
	title = {Article:A Survey of Image Processing Techniques for Identification of Printing Technology in Document Forensic Perspective},
	journal = {IJCA,Special Issue on RTIPPR},
	year = {2010},
	number = {1},
	pages = {9--15},
	note = {Published By Foundation of Computer Science}


This paper discusses about various image processing techniques and tools which are available for identification of printing technologies. Printing technology identification and associated problems in document forensics have been projected as challenges in image processing application. Various image processing approaches based on textures, spatial variation, HSV color space, spatial correlation, and feature based on histogram and some of the pattern recognition methods, like gray level co-occurrence matrix, roughness of the text, perimeter of edge are highlighted. This paper devotes more on one of the recent contribution, namely, Gaussian Variogram Model (GVM) for printer classification.


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