Y. Lei, C. S. Liu, X. Q. Ding, and Q. Fu, A recognition based system for segmentation of touching handwritten numeral strings, Proceedings of IFHWR 9, 2004.

R. G. Casey and E. Lecolinet, A survey of methods and strategies in character segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.7, pp.690-706, 1996.
DOI : 10.1109/34.506792

L. S. Oliveira, A. S. Britto, and R. Sabourin, A synthetic database to assess segmentation algorithms, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), pp.207-211, 2005.
DOI : 10.1109/ICDAR.2005.35

L. S. Oliveira, R. Sabourin, F. Bortolozzi, and C. Y. Suen, Automatic recognition of handwritten numerical strings: a recognition and verification strategy, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), pp.241438-1454, 2002.
DOI : 10.1109/TPAMI.2002.1046154

J. Sadri, C. Y. Suen, and T. D. Bui, Automatic Segmentation of Unconstrained Handwritten Numeral Strings, Ninth International Workshop on Frontiers in Handwriting Recognition, 2004.
DOI : 10.1109/IWFHR.2004.21

X. Wang, V. Govindaraju, and S. Srihari, Holistic Recognition of Touching Digits, Proceedings of IFHWR 6, 1998.
DOI : 10.1142/9789812797650_0035

C. C. Chang and C. J. Lin, LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, 2001.
DOI : 10.1145/1961189.1961199

J. Platt, Probabilistic Outputs for Support Vector Machines and Comparison to Regularized Likelihood Methods, Advances in Large Margin Classifiers, pp.61-74, 1999.

H. Fujisawa, Y. Nakano, and K. Kurino, Segmentation methods for character recognition: from segmentation to document structure analysis, Proc. of IEEE, pp.1079-1092, 1992.
DOI : 10.1109/5.156471

R. Fenrich, Segmentation of automatically located handwritten words, Proceedings of IFHWR 2, pp.33-34, 1991.

Y. K. Chen and J. F. Wang, Segmentation of single-or multiple touching handwritten numeral string using background and foreground analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.22, pp.1304-1317, 2000.

V. Vapnik, The Nature of Statistical Learning Theory, 1995.

U. Pal, A. Bela¨?dbela¨?d, and C. Choisy, Touching numeral segmentation using water reservoir concept, Pattern Recognition Letters, vol.24, issue.1-3, pp.261-272, 2003.
DOI : 10.1016/S0167-8655(02)00240-4

URL : https://hal.archives-ouvertes.fr/inria-00099525