A. Al-dmour and R. Zitar, Word Extraction from Arabic Handwritten Documents Based on Statistical Measures, International Review On Computer and Software, issue.11, 2016.

J. Alkhateeb, J. Jiang, J. Ren, and . Stan-s-ipson, Component-based Segmentation of Words from Handwritten Arabic Text, International Journal of Computer and Information Engineering, issue.2, pp.1428-1432, 2008.

S. Al-ma'adeed, D. Elliman, and C. A. Higgins, A data base for Arabic handwritten text recognition research, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition, pp.485-489, 2002.

N. Aouadi and A. Kacem-echi, Word Extraction and Recognition in Arabic Handwritten Text, International Journal of Computing & Information Sciences, issue.12, pp.17-23, 2016.

S. Avidan and A. Shamir, Seam Carving for Content-aware Image Resizing, journal ACM Trans. Graph, vol.3, issue.26, 2007.

N. Arvanitopoulos and S. Süsstrunk, Seam Carving for Text Line Extraction on Color and Grayscale Historical Manuscripts, 14th International Conference on Frontiers in Handwriting Recognition, pp.726-731, 2014.

A. Belaïd and N. Ouwayed, Segmentation of Ancient Arabic Documents, pp.103-122, 2012.

Y. Boulid, A. Souhar, and M. Y. Elkettani, Arabic handwritten text line extraction using connected component analysis from a multi agent perspective, 15th International Conference on Intelligent Systems Design and Applications, pp.80-87, 2015.

K. Chen, M. Seuret, J. Hennebert, and R. Ingold, Convolutional Neural Networks for Page Segmentation of Historical Document Images, 14th IAPR International Conference on Document Analysis and Recognition, pp.965-970, 2017.

J. Chung, C. Gulcehre, K. Cho, and Y. Bengio, Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling, pp.1-9, 2014.

R. Cohen, I. Dinstein, J. El-sana, and K. Kedem, Using Scale-Space Anisotropic Smoothing for Text Line Extraction in Historical Documents, Image Analysis and Recognition, pp.349-358, 2014.

M. Diem, F. Kleber, S. Fiel, T. Grüning, and B. Gatos, ICDAR 2017 Competition on Baseline Detection in Archival Documents (cBAD, 2017.

M. Elzobi, A. Al-hamadi, and Z. Aghbari, Off-line Handwritten Arabic Words Segmentation Based on Structural Features and Connected Components Analysis, The 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, pp.135-142, 2011.

A. Graves, S. Fernandez, F. Gomez, and J. Schmidhuber, Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks, International Conference on Machine learning, pp.369-376, 2006.

T. Grüning, G. Leifert, T. Strauss, and R. Labahn, A Two-Stage Method for Text Line Detection in Historical Documents, pp.1-38, 2018.

T. Grüning, R. Labahn, M. Diem, F. Kleber, and S. Fiel, READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents, 13th IAPR International Workshop on Document Analysis Systems, pp.351-356, 2018.

K. He, X. Zhang, S. Ren, and J. Sun, Deep Residual Learning for Image Recognition, IEEE Conference on Computer Vision and Pattern Recognition, pp.770-778, 2016.

T. Kohonen, The self-organizing map, Proceedings of the IEEE, issue.78, pp.1464-1480, 1990.

D. P. Kingma and J. Ba, Adam: A Method for Stochastic Optimization, pp.1-15, 2015.

S. Ioffe and C. Szegedy, Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift, Proceedings of the 32nd International Conference on Machine Learning, 2015.

X. Li, S. Chen, X. Hu, and J. Yang, Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift, 2018.

J. Long, E. Shelhamer, and T. Darrell, Fully Convolutional Networks for Semantic Segmentation, pp.3431-3440, 2016.

G. Louloudis, B. Gatos, I. Pratikakis, and C. Halatsis, Text Line and Word Segmentation of Handwritten Documents, journal Pattern Recognition, issue.42, pp.3169-3183, 2009.

S. A. Mahmoud, I. Ahmad, M. Alshayeb, W. G. Al-khatib, M. T. Parvez et al., KHATT: Arabic Offline Handwritten Text Database, Proceedings of the 13 t h International Conference on Frontiers in Handwriting Recognition, pp.447-452, 2012.

V. Papavassiliou, . Th, V. Stafylakis, G. Katsouros, and . Carayannis, Handwritten document image segmentation into text lines and words, Journal Pattern Recognition, vol.43, issue.1, pp.369-377, 2010.

J. Pastor-pellicer, M. Z. Afzal, M. Liwicki, and M. J. Castro-bleda, Complete System for Text Line Extraction Using Convolutional Neural Networks and Watershed Transform, 12th IAPR Workshop on Document Analysis Systems, pp.30-35, 2016.

G. G. Rajput, B. Suryakant, P. N. Ummapure, and . Patil, Text-Line Extraction from Handwritten Document images using Histogram and Connected Component Analysis, National conference on Digital Image and Signal Processing, pp.11-17, 2015.

G. Renton, C. Chatelain, S. Adam, C. Kermorvant, and T. Paquet, Handwritten Text Line Segmentation Using Fully Convolutional Network, 14th IAPR International Conference on Document Analysis and Recognition, pp.5-9, 2017.

O. Ronneberger, P. Fischer, and T. Brox, U-Net: Convolutional Networks for Biomedical Image Segmentation, MICCAI 2015: Medical Image Computing and Computer-Assisted, pp.234-241, 2015.