Z. Li and C. Y. Suen, The partition???combination method for recognition of handwritten characters, Pattern Recognition Letters, vol.21, issue.8, pp.701-720, 2000.
DOI : 10.1016/S0167-8655(00)00037-4

P. V. Radtke, R. Sabourin, and T. Wong, Intelligent feature extraction for ensemble of classifiers, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), pp.866-870, 2005.
DOI : 10.1109/ICDAR.2005.146

P. V. Radtke, T. Wong, and R. Sabourin, An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization, Submitted to the 2006 International Joint Conference on Neural Networks, 2006.

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, vol.24, issue.11, pp.1438-1454, 2002.
DOI : 10.1109/TPAMI.2002.1046154

F. Kimura, S. Inoue, T. Wakabayashi, S. Tsuruoka, and Y. Miyake, Handwritten numeral recognition using autoassociative neural networks, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), pp.152-155, 1998.
DOI : 10.1109/ICPR.1998.711106

L. I. Kuncheva and L. C. Jain, Design Classifier Fusion Systems by Genetic Algorithms, IEEE Transactions on Evolutionary Computation, vol.4, issue.4, pp.327-336, 2000.

J. Kittler, M. Hatef, R. P. Duin, and J. Matas, On combining classifiers, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.3, pp.226-239, 1998.
DOI : 10.1109/34.667881
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.123.3365

D. Ruta and B. Gabrys, Classifier selection for majority voting, Information Fusion, vol.6, issue.1, pp.63-81, 2005.
DOI : 10.1016/j.inffus.2004.04.008
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.6008

P. V. Radtke, T. Wong, and R. Sabourin, A Multi-objective Memetic Algorithm for Intelligent Feature Extraction, Proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, pp.767-781, 2005.
DOI : 10.1007/978-3-540-31880-4_53

K. Deb, S. Agrawal, A. Pratab, and T. Meyarivan, A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II, Proceedings of the Parallel Problem Solving from Nature VI Conference, pp.849-858, 2000.
DOI : 10.1007/3-540-45356-3_83

C. Emmanouilidis, A. Hunter, and J. Macintyre, A multiobjective evolutionary setting for feature selection and a commonality-based crossover operator, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512), pp.309-316, 2000.
DOI : 10.1109/CEC.2000.870311

´. A. Eiben, R. Hinterdind, and Z. Michalewicz, Parameter control in evolutionary algorithms, IEEE Transactions on Evolutionary Computation, vol.3, issue.2, pp.124-141, 1999.
DOI : 10.1109/4235.771166
URL : https://hal.archives-ouvertes.fr/inria-00140549

J. Milgram, R. Sabourin, and M. Cheriet, Estimating Posterior Probabilities with Support Vector Machines: A Case Study on Isolated Handwritten Character Recognition, 2006.

A. L. Koerich, Large Vocabulary Off-Line Handwritten Word Recognition, p.314, 2002.

I. Oh and C. Y. Suen, Distance features for neural network-based recognition of handwritten characters, International Journal on Document Analysis and Recognition, vol.1, issue.2, pp.73-88, 1998.
DOI : 10.1007/s100320050008