Document Forgery Detection

Document Forgery Detection with SVM Classifier and Image Quality Measures

This paper presents a detection scheme for a fraudulent document made by printers. The fraud document is indistinguishable by the naked eye from a genuine document because of the technological advances in printing methods. Even though we cannot find any visual evidence of forgery, the fraud document includes inherent device features. We propose a method to uncover these features. 17 image quali...

Research Project Report: Localized Forgery Detection in Hyperspectral Document Images

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 help...

Forgery Detection by Local Correspondence Forgery Detection by Local Correspondence Forgery Detection by Local Correspondence

Signatures may be stylish or unconventional and have many personal characteristics that are challenging to reproduce by anyone other then the original author For this reason signatures are used and accepted as proof of authorship or consent on personal checks credit purchases and legal documents Currently signatures are veri ed only informally in many environments but the rapid development of c...

Minimising the risk of electronic document forgery

Paperless business transactions depend on digital signatures, which are based on public-key cryptography and one-way hash functions. However, one-way hash functions have properties, which can be exploited to subvert security service. The purpose of this paper is minimisation of such risks, where attention is given to proper structuring (and consequently coding) of electronic documents and the c...

Detection of Forgery