K. Wong, R. Casey, and F. Wahl, Document Analysis System, IBM Journal of Research and Development, vol.26, issue.6, pp.647-656, 1982.
DOI : 10.1147/rd.266.0647

T. Pavlidis and J. Zhou, Page segmentation and classification, Graphical Model and Image Processing, pp.484-496, 1992.
DOI : 10.1016/1049-9652(92)90068-9

S. Khedekar, V. Ramanaprasad, S. Setlur, and V. Govindaraju, Text -image separation in Devanagari documents, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pp.1265-1269, 2003.
DOI : 10.1109/ICDAR.2003.1227861

S. Mao, A. Rosenfeld, and T. Kanungo, Document structure analysis algorithms: a literature survey, DRR. SPIE, pp.197-207, 2003.

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

C. H. Chen, L. F. Pau, and P. Wang, Texture analysis in The Handbook of Pattern Recognition and Computer Vision, 1998.

B. Julesz, Visual pattern discrimination, " in Information Theory, pp.84-92, 1962.

T. Simpson, J. Armstrong, and A. Jarman, Merged consensus clustering to assess and improve class discovery with microarray data, BMC Bioinformatics, vol.11, issue.1, pp.1471-1482, 2010.
DOI : 10.1186/1471-2105-11-590

A. Ouji, Y. Leydier, and F. Lebourgeois, Chromatic / Achromatic Separation in Noisy Document Images, 2011 International Conference on Document Analysis and Recognition, pp.167-171, 2011.
DOI : 10.1109/ICDAR.2011.42

URL : https://hal.archives-ouvertes.fr/hal-01354444

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

S. Bres, ContributionsàContributions`Contributionsà la quantification des critères de transparence et d'anisotropie par une approche globale: application au contrôle de qualité de matériaux composites, 1994.

M. Mehri, P. Gomez-krämer, P. Héroux, and R. Mullot, Old document image segmentation using the autocorrelation function and multiresolution analysis, Document Recognition and Retrieval XX, 2013.
DOI : 10.1117/12.2002365

URL : https://hal.archives-ouvertes.fr/hal-00787779

N. Otsu, A Threshold Selection Method from Gray-Level Histograms, Systems, Man, and Cybernetics. IEEE, pp.62-66, 1979.
DOI : 10.1109/TSMC.1979.4310076

A. Busch, W. W. Boles, and S. Sridharan, Texture for script identification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.11, pp.1720-1732, 2005.
DOI : 10.1109/TPAMI.2005.227

L. Shijian and C. L. Tan, Script and Language Identification in Noisy and Degraded Document Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.1, pp.14-24, 2008.
DOI : 10.1109/TPAMI.2007.1158

R. Duda, P. Hart, and D. Stork, Pattern Classification, 2001.

A. Cornuéjols and L. Miclet, Apprentissage artificiel: Concepts et algorithmes, 2010.

D. J. Ketchen and C. L. Shook, THE APPLICATION OF CLUSTER ANALYSIS IN STRATEGIC MANAGEMENT RESEARCH: AN ANALYSIS AND CRITIQUE, Strategic Management Journal, pp.441-458, 1996.
DOI : 10.1002/(SICI)1097-0266(199606)17:6<441::AID-SMJ819>3.0.CO;2-G

S. Monti, P. Tamayo, J. Mesirov, and T. Golub, Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data, Machine Learning, pp.91-118, 2003.

L. Kaufman and P. J. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis, 1990.
DOI : 10.1002/9780470316801

G. N. Lance and W. T. Williams, A General Theory of Classificatory Sorting Strategies: 1. Hierarchical Systems, The Computer Journal, vol.9, issue.4, pp.373-380, 1967.
DOI : 10.1093/comjnl/9.4.373

J. B. Macqueen, Some Methods for Classification and Analysis of Multivariate Observations, Berkeley Symposium on Mathematical Statistics and Probability, pp.281-297, 1967.

F. Kovács, C. Legány, and A. Babos, Cluster validity measurement techniques Knowledge Engineering and Data Bases, International Conference on Artificial Intelligence, pp.388-393, 2006.

G. Nguyen, M. Coustaty, and J. 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

D. E. Knuth, The art of computer programming) sorting and searching, 1997.

P. Mahalanobis, On the generalised distance in statistics, Proceedings of the National Institute of Sciences of India. NISI, pp.49-55, 1936.

D. L. Davies and D. W. Bouldin, A Cluster Separation Measure, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.1, issue.2, pp.224-227, 1979.
DOI : 10.1109/TPAMI.1979.4766909

J. Dunn, Well-Separated Clusters and Optimal Fuzzy Partitions, Journal of Cybernetics, vol.4, issue.1, pp.95-104, 1974.
DOI : 10.1080/01969727408546059

P. C. Saxena and K. Navaneetham, The Effect of Cluster Size, Dimensionality, and Number of Clusters on Recovery of True Cluster Structure Through Chernoff-Type Faces, The Statistician, vol.40, issue.4, pp.415-425, 1991.
DOI : 10.2307/2348731

E. B. Fowlkes and C. L. Mallows, A Method for Comparing Two Hierarchical Clusterings, Journal of the American Statistical Association, vol.66, issue.383, pp.553-569, 1983.
DOI : 10.1080/01621459.1983.10478008