Research Project Report: Localized Forgery Detection in Hyperspectral Document Images

Abstract

This research aims to detect document forgery in handwritten notes based on ink spectral information. Multiple criterion methods, based on local information of the target window, to determine ink numbers were conducted. The comparison of the results generated from different anomaly detection methods was presented. The accuracy results showed that the methods implemented in the project were helpful to determine the number of different inks in a local image region. Finally, analysis of the results and possible future improvements were stated.

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Cite this paper

@inproceedings{Luo2014ResearchPR, title={Research Project Report: Localized Forgery Detection in Hyperspectral Document Images}, author={Paul Luo}, year={2014} }