I. Sutskever, O. Vinyals, and Q. V. Le, Conference on Neural Information Processing Systems, 2014.

J. Sueiras, V. Ruiz, A. Sanchez, and J. F. Velez, Offline continous handwriting recognition using sequence to sequence neural networks, Neurocomputing, 2018.

S. Vogel, H. Ney, and C. Tillman, HMM-based word alignement in statistical translation, Proc. of the 16th conference on Computational linguistics, 1996.

A. Graves, S. Fernandes, F. Gomez, and J. Schmidhuber, Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural Network, Proc. of the 23rd International Conference on Machine Learning, 2006.

A. Graves, Offline handwriting recognition with multidimensional recurrent neural networks, NIPS, 2008.

H. Zhan, Q. Wang, and Y. Lu, Handwritten digit string recognition by combination of residual network and RNN-CTC, 2017.

K. He, X. Zhang, S. Ren, and J. Sun, Deep residual learning for image recognition, ICPR, 2016.

D. Bahdanau, K. Cho, and Y. Bengio, Neural Machine Translation by jointly learning to align and translate, 2016.

O. Matan, J. C. Burges, Y. Lecun, and J. S. Denker, Multidigit recognition using a space displacement neural network, Advances in Neural Information, 1999.

S. Hochreiter and J. Schimdhuber, Long Short Term Memory, Neural Computation, vol.9, 1997.

J. Chorowski, D. Bahdanau, D. Serdyuk, K. Cho, and Y. Bengio, Attention-Based Models for Speech Recognition, Advances in Neural Information Processing Systems, 2015.

M. Diem, S. Fiel, F. Kleber, and R. Sablatnig, ICFHR 2014 competition on handwritten digit string recognition in challenging datasets, ICFHR, 2014.

Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, Gradientbased learning applied to document recognition, Proc. of the IEEE, 1998.

R. Saabni, Recognizing handwritten single digits and digit strings using deep architecture of neural networks, 2016.

. Kim, . Suyoun, . Hori, . Takaaki, and S. Watanabe, Joint CTCattention based end-to-end speech recognition using multi-task learning, ICASSP, 2017.

B. Shi, X. Bai, and C. Yao, An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition, 2016.