Text-line examination for document forgery detection

Joost van Beusekom, Faisal Shafait, Thomas Breuel
International Journal on Document Analysis and Recognition volume Online First, Pages 1-19, Springer, 2012


In this paper, an approach for forgery detection using text-line information is presented. In questioned document examination, text-line rotation and alignment can be important clues for detecting tampered documents. Measuring and detecting such mis-rotations and mis-alignments are a cumbersome task. Therefore, an automated approach for verification of documents based on these two text-line features is proposed in this paper. An in-depth evaluation of the proposed methods shows its usefulness in the context of document security with an area under the ROC curve (AUC) score of AUC = 0.89. The automatic nature of the approach allows the presented methods to be used in high-volume environments.




@article{ BEUS2012,
	Title = {Text-line examination for document forgery detection},
	Author = {Joost van Beusekom and Faisal Shafait and Thomas Breuel},
	Year = {2012},
	Publisher = {Springer},
	Publisher = {Online First},
	Pages = {1-19},
	Journal = {International Journal on Document Analysis and Recognition}

Last modified:: 30.08.2016