R. G. Casey and E. Lecolinet, « A Survey of Methods and Strategies in Character Segmentation », Pattern Analysis and Machine Intelligence, pp.690-706, 1996.

K. Chinnasarn, Y. Rangsanseri, and P. Thitimajshima, Removing salt-and-pepper noise in text/graphics images, IEEE. APCCAS 1998. 1998 IEEE Asia-Pacific Conference on Circuits and Systems. Microelectronics and Integrating Systems. Proceedings (Cat. No.98EX242), pp.459-462, 1998.
DOI : 10.1109/APCCAS.1998.743809

L. F. Da-silva, A. Conci, and A. Sanchez, Automatic Discrimination between Printed and Handwritten Text in Documents, 2009 XXII Brazilian Symposium on Computer Graphics and Image Processing, pp.261-267, 2009.
DOI : 10.1109/SIBGRAPI.2009.40

R. Kandan, N. K. Reddy, K. R. Arvind, and A. G. Ramakrishnan, A Robust Two Level Classification Algorithm for Text Localization in Documents, International conference on Advances in visual computing, pp.96-105, 2007.
DOI : 10.1007/978-3-540-76856-2_10

E. Mayoraz and E. Alpaydin, Support vector machines for multi-class classification, Conference on Artificial Neural Networks, pp.833-842, 1999.
DOI : 10.1007/BFb0100551

F. Shafait, D. Keysers, and T. Breuel, « Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms », Pattern Analysis and Machine Intelligence, pp.941-954, 2008.

J. Van-beusekom, F. Shafait, and T. Breuel, Combined orientation and skew detection using geometric text-line modeling, International Journal on Document Analysis and Recognition (IJDAR), vol.90, issue.3, pp.79-92, 2010.
DOI : 10.1007/s10032-009-0109-5

Y. Zheng, H. Li, and D. Doermann, « The segmentation and identification of handwriting in noisy document images », Document Analysis System, pp.95-105, 2002.

Y. Zheng, H. Li, and D. Doermann, « Machine Printed Text and Handwriting Identification in Noisy Document Images », Pattern Analysis Machine Intelligence, pp.337-353, 2004.