S. Ravi, P. Pasupathi, S. Muthukumar, and N. Krishnan, Image in-painting techniques-a survey and analysis, 9th ICIIT. IEEE, pp.36-41, 2013.

F. Simistira, M. Seuret, N. Eichenberger, A. Garz, M. Liwicki et al., Diva-hisdb: A precisely annotated large dataset of challenging medieval manuscripts, 15th ICFHR. IEEE, pp.471-476, 2016.

T. Kanungo, R. M. Haralick, and I. Phillips, Global and local document degradation models," in ICDAR, pp.730-734, 1993.

T. Varga and H. Bunke, Generation of synthetic training data for an hmm-based handwriting recognition system, pp.618-622, 2003.

V. C. Kieu, M. Visani, N. Journet, J. Domenger, and R. Mullot, A character degradation model for grayscale ancient document images, ICPR, pp.685-688, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00860693

A. Fischer, M. Visani, V. C. Kieu, and C. Y. Suen, Generation of learning samples for historical handwriting recognition using image degradation, HIP, pp.73-79, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01006088

J. Liang, D. Dementhon, and D. Doermann, Geometric rectification of camera-captured document images, TPAMI, vol.30, issue.4, pp.591-605, 2008.

V. C. Kieu, N. Journet, M. Visani, R. Mullot, and J. P. Domenger, Semi-synthetic document image generation using texture mapping on scanned 3d document shapes, ICDAR, pp.489-493, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01006100

M. Seuret, K. Chen, N. Eichenbergery, M. Liwicki, and R. Ingold, Gradient-domain degradations for improving historical documents images layout analysis, ICDAR, pp.1006-1010, 2015.

S. Capobianco and S. Marinai, Docemul: a toolkit to generate structured historical documents, 2017.

N. Journet, M. Visani, B. Mansencal, K. Van-cuong, and A. Billy, Doccreator: A new software for creating synthetic ground-truthed document images, Journal of imaging, vol.3, issue.4, p.62, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01668915

A. Telea, An image inpainting technique based on the fast marching method, Journal of graphics tools, vol.9, issue.1, pp.23-34, 2004.

G. Bradski, The opencv library, Dr. Dobb's Journal: Software Tools for the Professional Programmer, vol.25, issue.11, pp.120-123, 2000.

P. Pérez, M. Gangnet, and A. Blake, Poisson image editing, ACM Transactions on graphics, vol.22, issue.3, pp.313-318, 2003.

F. Simistira, M. Bouillon, M. Seuret, M. Würsch, M. Alberti et al., Icdar2017 competition on layout analysis for challenging medieval manuscripts, ICDAR, vol.1, pp.1361-1370, 2017.

J. Long, E. Shelhamer, and T. Darrell, Fully convolutional networks for semantic segmentation, CVPR, pp.3431-3440, 2015.

M. Diem, F. Kleber, S. Fiel, T. Grüning, and B. Gatos, cbad: Icdar2017 competition on baseline detection, IC-DAR, vol.1, pp.1355-1360, 2017.

O. Ronneberger, P. Fischer, and T. Brox, U-net: Convolutional networks for biomedical image segmentation, International Conference on Medical image computing and computer-assisted intervention, pp.234-241, 2015.