E. Augustin, J. Brodin, M. Carré, E. Geoffrois, E. Grosicki et al., RIMES evaluation campaign for handwritten mail processing, Proc. of the Workshop on Frontiers in Handwriting Recognition, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00271963

J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu et al., Theano: A cpu and gpu math compiler in python, Proc. 9th Python in Science Conf, pp.1-7, 2010.

U. M. Butt, S. Ahmad, F. Shafait, C. Nansen, A. S. Mian et al., Automatic signature segmentation using hyper-spectral imaging, Frontiers in Handwriting Recognition (ICFHR), 2016 15th International Conference on, pp.19-24, 2016.

T. Cethefi, Project anr-14-ce31-0017 "contrainte et intégration : pour une réévaluation des spectacles forains et italiens sous l'ancien régime, 2016.

M. Delalandre, E. Valveny, T. Pridmore, and D. Karatzas, Generation of synthetic documents for performance evaluation of symbol recognition & spotting systems, International journal on document analysis and recognition, vol.13, issue.3, pp.187-207, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01022594

S. Dieleman, J. Schlüter, C. Raffel, E. Olson, S. K. Sønderby et al., Lasagne: First release, 2015.

V. Dumoulin and F. Visin, A guide to convolution arithmetic for deep learning, 2016.

, (b) and (c) unlabeled handwritten mails of the RIMES database superposed with their corresponding classification maps. (d), (e) and (f) historical handwritten documents of the RECITAL database superposed with their corresponding classification maps. (blue), (green) and (red) pixels correspond to classes background, number and word, respectively. Gorodkin, Examples of the structures spotting performed by our model on real handwritten documents. (a), vol.5, pp.367-374, 2004.

E. Grosicki and H. El-abed, ICDAR 2011: French handwriting recognition competition, Proc. of IC-DAR, pp.1459-1463, 2011.

V. C. Kieu, N. Journet, M. Visani, R. Mullot, and J. Domenger, , 2013.

, Semi-synthetic Document Image Generation Using Texture Mapping on Scanned 3D Document Shapes, The Twelfth International Conference on Document Analysis and Recognition

D. Kingma, J. Ba, A. Krizhevsky, I. Sutskever, and G. E. Hinton, Imagenet classification with deep convolutional neural networks, Advances in neural information processing systems, pp.1097-1105, 2012.

Y. Lecun, Y. Bengio, and G. Hinton, Deep learning, Nature, vol.521, issue.7553, pp.436-444, 2015.

E. D. Luca, Le Répertoire de la Comédie-Italienne, pp.1716-1762, 2011.

B. W. Matthews, Comparison of the predicted and observed secondary structure of t4 phage lysozyme, Biochimica et Biophysica Acta (BBA)-Protein Structure, vol.405, issue.2, pp.442-451, 1975.

B. Moysset, J. Louradour, C. Kermorvant, and C. Wolf, Learning text-line localization with shared and local regression neural networks, Frontiers in Handwriting Recognition (ICFHR), 2016 15th International Conference on, pp.1-6, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01345713

V. Nair and G. E. Hinton, Rectified linear units improve restricted boltzmann machines, Proceedings of the 27th international conference on machine learning (ICML-10), pp.807-814, 2010.

S. J. Pan and Q. Yang, A survey on transfer learning, IEEE Transactions on knowledge and data engineering, vol.22, issue.10, pp.1345-1359, 2010.

J. Schmidhuber, Deep learning in neural networks: An overview, Neural networks, vol.61, pp.85-117, 2015.

C. Viard-gaudin, P. M. Lallican, S. Knerr, and P. Binter, The ireste on/off (ironoff) dual handwriting database, Document Analysis and Recognition, 1999. ICDAR'99. Proceedings of the Fifth International Conference on, pp.455-458, 1999.