@conference {13554,
	title = {Fast Rule-line Removal using Integral Images and Support Vector Machines},
	booktitle = {Intl. Conf. on Document Analysis and Recognition (ICDAR 11)},
	year = {2011},
	month = {2011///},
	pages = {584 - 588},
	abstract = {In this paper, we present a fast and effective method for removing pre-printed rule-lines in handwritten document images. We use an integral-image representation which allows fast computation of features and apply techniques for large scale Support Vector learning using a data selection strategy to sample a small subset of training data. Results on both constructed and real-world data sets show that the method is effective for rule-line removal. We compare our method to a subspace-based method and show that better accuracy can be achieved in considerably less time. The integral-image based features proposed in the paper are generic and can be applied to other problems as well.},
	author = {Kumar,Jayant and David Doermann}
}
