@conference {13521,
	title = {Clutter Noise Removal in Binary Document Images},
	booktitle = {International Conference on Document Analysis and Recognition (ICDAR {\textquoteright}09)},
	year = {2009},
	month = {2009///},
	pages = {556 - 560},
	abstract = {The paper presents a clutter detection and removal algorithm for complex document images. The distance transform based approach is independent of clutter{\textquoteright}s position, size, shape and connectivity with text. Features are based on a new technique called {\textquoteleft}nth erosion{\textquoteright} and clutter elements are identified with an SVM classifier. Removal is restrictive, so text attached to the clutter is not deleted in the process. The method was tested on a mix of degraded and noisy, machine-printed and handwritten Arabic and English text documents. Results show pixel-level accuracies of 97.5\% and 95\% for clutter detection and removal respectively. This approach was also extended with a noise detection and removal model for documents having a mix of clutter and salt-n-pepper noise.},
	author = {Agrawal,Mudit and David Doermann}
}
