Detection of Fabrication in Photocopy Document Using Texture Features Through K-Means Clustering

Abstract

Photocopy documents are very common in our normal life. People are permitted to carry and produce photocopied documents frequently, to avoid damages or losing the original documents. But this provision is misused for temporary benefits by fabricating fake photocopied documents. When a photocopied document is produced, it may be required to check for its originality. An attempt is made in this direction to detect such fabricated photocopied documents. This paper proposes an unsupervised system to detect fabrication in photocopied document using texture features. The work in this paper mainly focuses on detection of fabrication in photocopied documents in which some contents are manipulated by new contents above it through different ways. A detailed experimental study has been performed using a collected sample set of considerable size and a decision model is developed for classification. Testing is performed with a different set of collected testing samples resulted in an average detection rate of 89%.