A. Antonacopoulos, D. Bridson, C. Papadopoulos, and S. Pletschacher, A Realistic Dataset for Performance Evaluation of Document Layout Analysis, 2009 10th International Conference on Document Analysis and Recognition, pp.296-300, 2009.
DOI : 10.1109/ICDAR.2009.271

A. Antonacopoulos, C. Clausner, C. Papadopoulos, and S. Pletschacher, Historical Document Layout Analysis Competition, 2011 International Conference on Document Analysis and Recognition, pp.1516-1520, 2011.
DOI : 10.1109/ICDAR.2011.301

A. Antonacopoulos, B. Gatos, and D. Bridson, Page Segmentation Competition, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, pp.1279-1283, 2007.
DOI : 10.1109/ICDAR.2007.4377121

A. Asi, R. Cohen, K. Kedem, J. El-sana, and I. Dinstein, A coarseto-fine approach for layout analysis of ancient manuscripts, International Conference on Frontiers in Handwriting Recognition, pp.140-145, 2014.

H. S. Baird, Digital libraries and document image analysis, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pp.2-14, 2003.
DOI : 10.1109/ICDAR.2003.1227619
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.6457

Y. Bengio, A. Courville, and P. Vincent, Representation learning: A review and new perspectives. Pattern Analysis and Machine Intelligence pp, pp.1798-1828, 2013.

J. Beyerer, F. P. León, and C. Frese, Texture Analysis, Machine Vision, pp.649-683, 2016.
DOI : 10.1007/978-3-662-47794-6_13

T. K. Bhowmik and M. Kar, Text Localization in Historical Document Images with Local Binary Patterns and Variance Models, Lecture Notes in Computer Science -Pattern Recognition and Machine Intelligence, pp.501-508, 2013.
DOI : 10.1007/978-3-642-45062-4_69

A. C. Bovik, M. Clark, and W. S. Geisler, Multichannel texture analysis using localized spatial filters. Pattern Analysis and Machine Intelligence pp, pp.55-73, 1990.
DOI : 10.1109/34.41384

A. Busch, W. W. Boles, and S. Sridharan, Texture for script identification . Pattern Analysis and Machine Intelligence pp, pp.1720-1732, 2005.
DOI : 10.1109/tpami.2005.227
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.596.8279

F. W. Campbell and J. G. Robson, Application of fourier analysis to the visibility of gratings, The Journal of Physiology, vol.197, issue.3, pp.551-566, 1968.
DOI : 10.1113/jphysiol.1968.sp008574

C. H. Chen, L. F. Pau, and P. Wang, Texture analysis in the handbook of pattern recognition and computer vision, second edn, World Scientific, 1998.

J. Chen, H. Cao, R. Prasad, A. Bhardwaj, and P. Natarajan, Gabor features for offline Arabic handwriting recognition, Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, DAS '10, pp.53-58, 2010.
DOI : 10.1145/1815330.1815337
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.225.8121

K. Chen, H. Wei, J. Hennebert, R. Ingold, and M. Liwicki, Page Segmentation for Historical Handwritten Document Images Using Color and Texture Features, 2014 14th International Conference on Frontiers in Handwriting Recognition, pp.488-493, 2014.
DOI : 10.1109/ICFHR.2014.88

K. Chen, H. Wei, M. Liwicki, J. Hennebert, and R. Ingold, Robust Text Line Segmentation for Historical Manuscript Images Using Color and Texture, 2014 22nd International Conference on Pattern Recognition, pp.2978-2983, 2014.
DOI : 10.1109/ICPR.2014.514

L. Cinque, L. Lombardi, and G. Manzini, A multiresolution approach for page segmentation. Pattern Recognition Letters pp, pp.217-225, 1998.

D. Coppi, C. Grana, and R. Cucchiara, Illustrations segmentation in digitized documents using local correlation features. Procedia Computer Science pp, pp.76-83, 2014.

M. Cote and A. B. Albu, Texture sparseness for pixel classification of business document images, International Journal on Document Analysis and Recognition (IJDAR), vol.2, issue.3, pp.1-17, 2014.
DOI : 10.1007/s10032-014-0217-8

M. Coustaty, R. Raveaux, and J. M. Ogier, Historical document analysis: a review of French projects and open issues, European Signal Processing Conference, pp.1445-1449, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01247944

F. Cruz-fernández and O. Ramos-terrades, Document segmentation using relative location features, International Conference on Pattern Recognition, pp.1562-1565, 2012.

J. G. Daugman, Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters, Journal of the Optical Society of America A, vol.2, issue.7, pp.1160-1169, 1985.
DOI : 10.1364/JOSAA.2.001160

J. Dem?ar, Statistical comparisons of classifiers over multiple data sets, The Journal of Machine Learning Research, pp.1-30, 2006.

J. M. Dubuf, M. Kardan, and M. Spann, Texture feature performance for image segmentation, Pattern Recognition, pp.291-309, 1990.

V. Eglin, S. Bres, and C. Rivero, Hermite and Gabor transforms for noise reduction and handwriting classification in ancient manuscripts, International Journal of Document Analysis and Recognition (IJDAR), vol.33, issue.3, pp.101-122, 2007.
DOI : 10.1007/s10032-007-0039-z

M. A. Ferrer, A. Morales, and U. Pal, LBP Based Line-Wise Script Identification, 2013 12th International Conference on Document Analysis and Recognition, pp.369-373, 2013.
DOI : 10.1109/ICDAR.2013.81

D. Gabor, Theory of communication Part 1: The analysis of information Journal of the Institution of Electrical Engineers -Part III: Radio and Communication Engineering pp, pp.429-441, 1946.

M. M. Galloway, Texture analysis using gray level run lengths. Computer Graphics and Image Processing pp, pp.172-179, 1975.
DOI : 10.1016/s0146-664x(75)80008-6

A. Garz and R. Sablatnig, Multi-scale texture-based text recognition in ancient manuscripts, 2010 16th International Conference on Virtual Systems and Multimedia, pp.336-339, 2010.
DOI : 10.1109/VSMM.2010.5665938

B. Gatos, I. Pratikakis, and S. J. Perantonis, Adaptive degraded document image binarization, Pattern Recognition, vol.39, issue.3, pp.317-327, 2006.
DOI : 10.1016/j.patcog.2005.09.010

C. Grana, G. Serra, M. Manfredi, D. Coppi, and R. Cucchiara, Layout analysis and content enrichment of digitized books. Multimedia Tools and Applications pp, pp.1-22, 2014.

R. M. Haralick, Statistical and structural approaches to texture, Proceedings of the IEEE pp, pp.786-804, 1979.
DOI : 10.1109/PROC.1979.11328

R. M. Haralick, K. Shanmugam, and I. Dinstein, Textural features for image classification. Systems Man and Cybernetics pp, pp.610-621, 1973.
DOI : 10.1109/tsmc.1973.4309314
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.434.6

D. Harwood, T. Ojala, M. Pietikäinen, S. Kelman, and L. Davis, Texture classification by center-symmetric auto-correlation, using Kullback discrimination of distributions, Pattern Recognition Letters, vol.16, issue.1, pp.971-987, 1995.
DOI : 10.1016/0167-8655(94)00061-7

J. He, Q. D. Do, A. C. Downton, and J. H. Kim, A comparison of binarization methods for historical archive documents, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), pp.538-542, 2005.
DOI : 10.1109/ICDAR.2005.3

D. Hebert, T. Paquet, and S. Nicolas, Continuous CRF with multiscale quantization feature functions application to structure extraction in old newspaper, International Conference on Document Analysis and Recognition, pp.493-497, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00671123

A. K. Jain, R. P. Duin, and J. Mao, Statistical pattern recognition: a review. Pattern Analysis and Machine Intelligence pp, pp.4-37, 2000.

A. K. Jain and F. Farrokhnia, Unsupervised texture segmentation using Gabor filters. Pattern Recognition pp, pp.1167-1186, 1991.
DOI : 10.1109/icsmc.1990.142050
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.319.2001

A. K. Jain and Y. Zhong, Page segmentation using texture analysis. Pattern Recognition pp, pp.743-770, 1996.
DOI : 10.1016/0031-3203(95)00131-x

N. Journet, J. Ramel, R. Mullot, and V. Eglin, Document image characterization using a multiresolution analysis of the texture: application to old documents, International Journal of Document Analysis and Recognition (IJDAR), vol.52, issue.6, pp.9-18, 2008.
DOI : 10.1007/s10032-008-0064-6
URL : https://hal.archives-ouvertes.fr/hal-00480087

D. Keysers, F. Shafait, and T. M. Breuel, Document image zone classification -a simple high-performance approach, International Conference on Computer Vision Theory and Applications, pp.44-51, 2007.

K. Kise, Page Segmentation Techniques in Document Analysis, Handbook of Document Image Processing and Recognition, pp.135-175, 2014.
DOI : 10.1007/978-0-85729-859-1_5

A. Kricha and N. E. Amara, Exploring textural analysis for historical documents characterization, Journal of computing, pp.24-30, 2011.

S. Kumar, R. Gupta, N. Khanna, S. Chaudhury, and S. D. Joshi, Text Extraction and Document Image Segmentation Using Matched Wavelets and MRF Model, IEEE Transactions on Image Processing, vol.16, issue.8, pp.2117-2128, 2007.
DOI : 10.1109/TIP.2007.900098

J. Lafferty, A. Mccallum, and F. Pereira, Conditional Random Fields: probabilistic models for segmenting and labeling sequence data, International Conference on Machine Learning, pp.282-289, 2001.

G. N. Lance and W. T. Williams, A general theory of classificatory sorting strategies 1. Hierarchical systems. The Computer Journal pp, pp.373-380, 1967.

J. Li and R. M. Gray, Context-based multiscale classification of document images using wavelet coefficient distributions, Image Processing, pp.1604-1616, 2000.

M. Lin, J. Tapamo, and B. Ndovie, A texture-based method for document segmentation and classification. South African Computer Journal pp, pp.49-56, 2006.
URL : https://hal.archives-ouvertes.fr/hal-01262352

S. G. Mallat, A theory for multiresolution signal decomposition: the wavelet representation. Pattern Analysis and Machine Intelligence pp, pp.674-693, 1989.

M. Mehri, P. Gomez-krämer, P. Héroux, A. Boucher, and R. Mullot, Texture feature evaluation for segmentation of historical document images, Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing, HIP '13, pp.102-109, 2013.
DOI : 10.1145/2501115.2501121
URL : https://hal.archives-ouvertes.fr/hal-00934571

M. Mehri, P. Gomez-krämer, P. Héroux, A. Boucher, and R. Mullot, A texture-based pixel labeling approach for historical books, Pattern Analysis and Applications, vol.20, 2015.
DOI : 10.1007/s10044-015-0451-9
URL : https://hal.archives-ouvertes.fr/hal-01237249

M. Mehri, V. C. Kieu, M. Mhiri, P. Héroux, P. Gomez-krämer et al., Robustness Assessment of Texture Features for the Segmentation of Ancient Documents, 2014 11th IAPR International Workshop on Document Analysis Systems, pp.293-297, 2014.
DOI : 10.1109/DAS.2014.22
URL : https://hal.archives-ouvertes.fr/hal-01119156

M. Mehri, M. Mhiri, P. Héroux, P. Gomez-krämer, M. A. Mahjoub et al., Performance Evaluation and Benchmarking of Six Texture-Based Feature Sets for Segmenting Historical Documents, 2014 22nd International Conference on Pattern Recognition, pp.2885-2890, 2014.
DOI : 10.1109/ICPR.2014.497
URL : https://hal.archives-ouvertes.fr/hal-01119157

A. K. Mikkilineni, P. J. Chiang, G. N. Ali, G. T. Chiu, J. P. Allebach et al., Printer identification based on graylevel cooccurrence features for security and forensic applications, Security , Steganography, and Watermarking of Multimedia Contents VII, pp.430-440, 2005.
DOI : 10.1117/12.593796
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.74.4436

K. Mouats, N. Journet, and R. Mullot, Segmentation floue d'images de documents anciens par approche texture utilisant le filtre de Gabor, International Conference on Image and Signal Processing, 2006.

G. Nguyen, M. Coustaty, and J. M. Ogier, Stroke feature extraction for lettrine indexing, 2010 2nd International Conference on Image Processing Theory, Tools and Applications, pp.355-360, 2010.
DOI : 10.1109/IPTA.2010.5586747

A. Nicolaou, F. Slimane, V. Märgner, and M. Liwicki, Local Binary Patterns for Arabic Optical Font Recognition, 2014 11th IAPR International Workshop on Document Analysis Systems, pp.76-80, 2014.
DOI : 10.1109/DAS.2014.71

N. Nikolaou, M. Makridis, B. Gatos, N. Stamatopoulos, and N. Papamarkos, Segmentation of historical machine-printed documents using adaptive run-length smoothing and skeleton segmentation paths. Image and Vision Computing pp, pp.590-604, 2010.

T. Ojala, M. Pietikäinen, and T. Mäenpää, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns . Pattern Analysis and Machine Intelligence pp, pp.971-987, 2002.
DOI : 10.1109/tpami.2002.1017623
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.1576

O. Okun and M. Pietikäinen, A SURVEY OF TEXTURE-BASED METHODS FOR DOCUMENT LAYOUT ANALYSIS, Workshop on Texture Analysis in Machine Vision, pp.137-148, 1999.
DOI : 10.1142/9789812792495_0012

N. Otsu, A threshold selection method from gray-level histograms . Systems, Man, and Cybernetics pp, pp.62-66, 1979.

M. Petrou and P. G. Sevilla, Image processing: dealing with texture, 2006.
DOI : 10.1002/047003534X

V. Romero, A. Fornés, N. Serrano, J. A. Sánchez, A. H. Toselli et al., The ESPOSALLES database: an ancient marriage license corpus for off-line handwriting recognition . Pattern Recognition pp, pp.1658-1669, 2013.

J. Sauvola and M. Pietikäinen, Adaptive document image binarization . Pattern Recognition pp, pp.225-236, 2000.
DOI : 10.1016/s0031-3203(99)00055-2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.98.880

N. Serrano, F. Castro, and A. Juan, The RODRIGO database, International Conference on Language Resources and Evaluation, pp.2709-2712, 2010.

M. Seuret, M. Liwicki, and R. Ingold, Pixel Level Handwritten and Printed Content Discrimination in Scanned Documents, 2014 14th International Conference on Frontiers in Handwriting Recognition, pp.423-428, 2014.
DOI : 10.1109/ICFHR.2014.77

F. Shafait, D. Keysers, and T. M. Breuel, Performance evaluation and benchmarking of six-page segmentation algorithms. Pattern Analysis and Machine Intelligence pp, pp.941-954, 2008.

H. Tamura, S. Mori, and T. Yamawaki, Textural features corresponding to visual perception. Systems Man and Cybernetics pp, pp.460-473, 1978.
DOI : 10.1109/tsmc.1978.4309999

X. Tang, Texture information in run-length matrices. Image Processing pp, pp.1602-1609, 1998.

M. Tuceryan and A. K. Jain, Texture segmentation using Voronoi polygons. Pattern Analysis and Machine Intelligence pp, pp.211-216, 1990.
DOI : 10.1109/34.44407
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.3459

S. Uttama, P. Loonis, M. Delalandre, and J. M. Ogier, Segmentation and Retrieval of Ancient Graphic Documents, International Workshop on Graphics Recognition, pp.88-98, 2006.
DOI : 10.1007/11767978_8

M. Villegas, V. Romero, and J. A. Sánchez, On the Modification of Binarization Algorithms to Retain Grayscale Information for Handwritten Text Recognition, Iberian Conference on Pattern Recognition and Image Analysis, pp.208-215, 2015.
DOI : 10.1007/978-3-319-19390-8_24

D. Wang and S. N. Srihari, Page segmentation and classification. Computer Vision, Graphics, and Image Processing pp, pp.327-352, 1989.

L. Wang and D. C. He, Texture classification using texture spectrum. Pattern Recognition pp, pp.905-910, 1990.
DOI : 10.1016/0031-3203(90)90135-8

H. Wechsler, Texture analysis ??? a survey, Signal Processing, vol.2, issue.3, pp.271-282, 1980.
DOI : 10.1016/0165-1684(80)90024-9

J. S. Weszka, C. R. Dyer, and A. Rosenfeld, A comparative study of texture measures for terrain classification. Systems Man and Cybernetics pp, pp.269-285, 1976.

Y. Zhu, T. Tan, and Y. Wang, Font recognition based on global texture analysis. Pattern Analysis and Machine Intelligence pp, pp.1192-1200, 2001.

M. Tuceryan, Moment based texture segmentation. Pattern Recognition Letters pp, pp.659-668, 1994.
DOI : 10.1109/icpr.1992.201924