C. Mcgillivary, C. Hale, E. H. Barney, and . Smith, Edge noise in document images, Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data, AND '09, pp.17-24, 2009.
DOI : 10.1145/1568296.1568302

D. Yu and H. Yan, An efficient algorithm for smoothing, linearization and detection of structural feature points of binary image contours, Pattern Recognition, vol.30, issue.1, pp.57-69, 1997.
DOI : 10.1016/S0031-3203(96)00055-6

L. O. Gorman, Image and document processing techniques for the RightPages electronic library system, Proc. of the 11th Int. Conf. on Pattern Recognition, pp.260-263, 1992.

E. H. Barney and . Smith, Modeling image degradations for improving OCR, Proceedings of the 16th European Signal Processing Conference, 2008.

E. J. Candès and D. L. Donoho, singularities, Communications on Pure and Applied Mathematics, vol.9, issue.7, pp.219-266, 2002.
DOI : 10.1002/cpa.10116

S. S. Chen, D. L. Donoho, and M. A. Saunders, Atomic Decomposition by Basis Pursuit, SIAM Journal on Scientific Computing, vol.20, issue.1, pp.33-61, 1998.
DOI : 10.1137/S1064827596304010
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.7694

G. Davis, S. Mallat, and M. Avellaneda, Adaptive greedy approximations, Constructive Approximation, vol.21, issue.1, pp.57-98, 1997.
DOI : 10.1007/BF02678430
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.7530

D. L. Donoho, For most large underdetermined systems of linear equations the minimal ???1-norm solution is also the sparsest solution, Communications on Pure and Applied Mathematics, vol.50, issue.6, pp.797-829, 2004.
DOI : 10.1002/cpa.20132

M. Elad, Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing, 2010.
DOI : 10.1007/978-1-4419-7011-4

P. Dosch and E. Valveny, Report on the second symbol recognition contest Available at, LNCS, vol.3926, pp.381-397, 2005.