An unsupervised intelligent system to detect fabrication in photocopy document using variations in Bounding Box features

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 authenticity. An attempt is made in this direction to detect such fabricated photocopied documents. This paper proposes a system to detect fabricated photocopied document using Bounding box. The work in this paper mainly focuses on detecting fabrication of photocopied document in which some contents are manipulated by smearing whitener over the original content and writing new contents above it and manipulate the content through cut and paste technique. 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 on set of collected testing samples resulted in an average detection rate close to 86%.