S. Impedovo, More than twenty years of advancements on Frontiers in Handwriting Recognition. Pattern Recognition, 2013.

W. Chen, P. Gader, and H. Shi, Lexicon-driven handwritten word recognition using optimal linear combinations of order statistics, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.1, pp.77-82, 1999.
DOI : 10.1109/34.745738

J. Salome, M. Leroux, and J. Badard, Recognition of cursive script words in a small lexicon, Proc. of ICDAR 2011, pp.774-782, 1991.

W. Cho, S. Lee, and J. H. Kim, Modeling and recognition of cursive words with hidden Markov models, Pattern Recognition, vol.28, issue.12, pp.1941-1953, 1995.
DOI : 10.1016/0031-3203(95)00041-0

H. Xue and V. Govindaraju, Incorporating Contextual Character Geometry in Word Recognition, Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition, pp.123-127, 2002.

I. Oh and C. Y. Suen, A class-modular feedforward neural network for handwriting recognition, Pattern Recognition, vol.35, issue.1, pp.229-244, 2002.
DOI : 10.1016/S0031-3203(00)00181-3

A. W. Senior and F. Fallside, An off-line cursive script recognition system using recurrent error propagation networks, Proc. Third Intl. W. F. Hand-writing Recog, pp.132-141, 1993.

J. Laaksonen, Subspace classifiers in recognition of handwritten digits, 1997.

A. Graves and J. Schmidhuber, Offline Arabic Handwriting Recognition with Multidimensional Recurrent Neural Networks
DOI : 10.1007/978-1-4471-4072-6_12

A. Graves, M. Liwicki, S. Fernandez, R. Bertolami, H. Bunke et al., A Novel Connectionist System for Improved Unconstrained Handwriting Recognition, IEEE Trans. Pattern Analysis and Machine Intelligence, issue.5, pp.31-855, 2009.

D. C. Ciresan, U. Meier, L. M. Gambardella, and J. Schmidhuber, Convolutional Neural Network Committees for Handwritten Character Classification, 2011 International Conference on Document Analysis and Recognition, pp.1135-1139, 2011.
DOI : 10.1109/ICDAR.2011.229

Y. Lecun, L. Bottou, Y. Bengio, and P. Haner, Gradient-based learning applied to document recognition, Proc. IEEE, pp.2278-2324, 1998.
DOI : 10.1109/5.726791

S. Dehaene, L. Cohen, M. Sigman, and F. Vinckier, The neural code for written words: a proposal, Trends in Cognitive Sciences, vol.9, issue.7, pp.335-341, 2005.
DOI : 10.1016/j.tics.2005.05.004

C. Whitney, D. Bertrand, and J. Grainger, On Coding the Position of Letters in Words, Experimental Psychology, vol.59, issue.2, pp.109-114, 2012.
DOI : 10.1027/1618-3169/a000132

URL : https://hal.archives-ouvertes.fr/hal-00712855

F. Menasri, J. Louradour, A. Bianne-bernard, and C. Kermorvant, The A2iA French handwriting recognition system at the Rimes-ICDAR2011 competition, Document Recognition and Retrieval XIX, p.pp, 2010.
DOI : 10.1117/12.911981

S. Dufau, B. Lété, C. Touzet, H. Glotin, J. Ziegler et al., A developmental perspective on visual word recognition: New evidence and a self-organising model, European Journal of Cognitive Psychology, vol.22, issue.5, pp.669-694, 2010.
DOI : 10.1080/09541440903031230

URL : https://hal.archives-ouvertes.fr/hal-01152170

T. Kohonen, Self-organizing maps, Third Extended Edition, 2001.

C. Touzet, Why Neurons Are Not the Right Level of Abstraction for Implementing Cognition, BICA 2012 : Annual Int. Conf. on Biologically Inspired Cognitive Architectures, pp.317-318, 2012.
DOI : 10.1007/978-3-642-34274-5_54

URL : https://hal.archives-ouvertes.fr/hal-01338036

C. Touzet, The Illusion of Joy Artificial General Intelligence, pp.357-362, 2011.

C. Touzet, Consciousness, Intelligence, Free-Will? The answers from the Theory of neuronal Cognition, 2010.

T. Bluche, J. Louradour, M. Knibbe, B. Moysset, F. Benzeghiba et al., The A2iA Arabic Handwritten Text Recognition System at the OpenHaRT2013 Evaluation, 2014.

T. Kohonen and P. Somervuo, Self-Organizing Maps of Symbol Strings with Application to Speech Recognition, Proc. of WSOM'97, pp.2-7, 1997.