E. Anquetil and H. Bouchereau, Integration of an on-line handwriting recognition system in a smart phone device, Object recognition supported by user interaction for service robots, pp.192-195, 2002.
DOI : 10.1109/ICPR.2002.1047827

E. Anquetil, B. Couasnon, and F. Dambreville, A Symbol Classifier Able to Reject Wrong Shapes for Document Recognition Systems, In GREC, pp.195-202, 1999.
DOI : 10.1007/3-540-40953-X_17

C. Bishop, Neural Network for Pattern Recognition, 1995.

C. Chow, On optimum recognition error and reject tradeoff, IEEE Transactions on Information Theory, vol.16, issue.1, pp.41-46, 1970.
DOI : 10.1109/TIT.1970.1054406

C. De-stefano, C. Sansone, and M. Vento, To reject or not to reject: that is the question-an answer in case of neural classifiers, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol.30, issue.1, pp.84-94, 2000.
DOI : 10.1109/5326.827457

C. Frélicot, M. Masson, and B. Dubuisson, Reject options in fuzzy pattern classification rules, Proc. of 3rd EUFIT, 1995.

G. Fumera, F. Roli, and G. Giacinto, Reject option with multiple thresholds, Pattern Recognition, vol.33, issue.12, pp.2099-2101, 2000.
DOI : 10.1016/S0031-3203(00)00059-5

I. Guyon, L. Schomaker, R. Palmondon, M. Liberman, and S. Janet, UNIPEN project of on-line data exchange and recognizer benchmarks, Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), pp.29-33, 1994.
DOI : 10.1109/ICPR.1994.576870

R. Krishnapuram and J. Keller, A possibilistic approach to clustering, IEEE Transactions on Fuzzy Systems, vol.1, issue.2, pp.98-110, 1993.
DOI : 10.1109/91.227387

L. Oliveira, A. Britto-jr, and R. Sabourin, Improving cascading classifiers with particle swarm optimization, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), pp.570-574, 2005.
DOI : 10.1109/ICDAR.2005.138

C. Viard-gaudin, P. Lallican, S. Knerr, and P. Binter, The irest on/off dual handwritting database, Proc. of the 5th ICDAR, pp.455-458, 1999.
DOI : 10.1109/icdar.1999.791823