Classification of Liquid and Viscous Inks using HSV Colour Space
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
IWCF '08 Proceedings of the 2nd international workshop on Computational Forensics
Document inspection using text-line alignment
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Identification of printing process using HSV colour space
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
A survey of forensic characterization methods for physical devices
Digital Investigation: The International Journal of Digital Forensics & Incident Response
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Forensic analysis of printed documents is a multi objective activity with intrinsic data as inputs which demands efficient techniques. 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. The paper focuses on frequently used word like ‘the' as test sample for characterizing printed text. The novelty of the proposed algorithm is that the selected printed text is modelled as mixture of three Gaussian models namely text, noise and background. The associated patterns and features of the models are derived using Expectation Maximization(EM) algorithm and few indices are proposed based on these parameters. One of the indices called Print Index(PI) for text is used for basic print technology discrimination.