A. Antonacopoulos, Introduction to Document Image Analysis, 1996.

G. Nagy, Twenty years of document image analysis in PAMI, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.1, pp.38-62, 2000.
DOI : 10.1109/34.824820

T. Pavlidis, Algorithms for Graphics and Image Processing, 1982.
DOI : 10.1007/978-3-642-93208-3

A. D. Bagdanov and M. Worring, Fine-grained document genre classification using first order random graphs, Proceedings of Sixth International Conference on Document Analysis and Recognition, pp.79-83, 2001.
DOI : 10.1109/ICDAR.2001.953759
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.7204

T. Washio and H. Motoda, State of the art of graph-based data mining, ACM SIGKDD Explorations Newsletter, vol.5, issue.1, pp.59-68, 2003.
DOI : 10.1145/959242.959249

B. C. Fung, K. Wang, and M. Ester, Hierarchical document clustering using frequent items, Proc. of the SIAM Conference on Data Maining, 2003.
DOI : 10.1137/1.9781611972733.6
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.9326

A. Termier, M. Rousset, and M. Sebag, Mining xml data with frequent trees, Proc. of DBFusion Workshop, pp.87-96, 2002.

D. Doermann, The Indexing and Retrieval of Document Images: A Survey, Computer Vision and Image Understanding, vol.70, issue.3, 1998.
DOI : 10.1006/cviu.1998.0692

O. Lorenz and G. Monagan, Automatic indexing for storage and retrieval of line drawings Storage and Retrieval for Image and Video Databases (SPIE) Volume 2420, SPIE, pp.216-227, 1995.

D. Blostein, R. Zanibbi, G. Nagy, and R. Harrap, Document representations, Proc. of the IAPR Workshop on Graphic Recognition, 2003.

A. Khotazad and Y. H. Hong, Invariant image recognition by zernike moments, IEEE Trans. on Pattern Recogntion and Machine Analysis, vol.12, issue.5, 1990.

G. W. Milligan and M. C. Cooper, An examination of procedures for determining the number of clusters in a data set, Psychometrika, vol.77, issue.2, pp.159-179, 1985.
DOI : 10.1007/BF02294245

A. D. Gordon, Classification, 1999.

L. Kaufmann and P. J. Rousseeuw, Clustering by means of medoids: Statistical Data Analysis based on the L1 Norm and Related Methods, pp.405-416, 1987.

S. Tabbone, L. Wendling, and K. Tombre, Matching of graphical symbols in line-drawing images using angular signature information, International Journal on Document Analysis and Recognition, vol.6, issue.2, pp.115-125, 2003.
DOI : 10.1007/s10032-003-0105-0
URL : https://hal.archives-ouvertes.fr/inria-00099540

X. Yan and J. Han, CloseGraph, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '03, pp.286-295, 2003.
DOI : 10.1145/956750.956784

M. Kuramochi and G. Karypis, An efficient algorithm for discovering frequent subgraphs, IEEE Transactions on Knowledge and Data Engineering, vol.16, issue.9, pp.1038-1051, 2004.
DOI : 10.1109/TKDE.2004.33
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.6113

S. T. Dumais, Improving the retrieval of information from external sources, Behavior Research Methods, Instruments, & Computers, vol.21, issue.2, pp.229-236, 1991.
DOI : 10.3758/BF03203370

J. Platt, Fast training of support vector machines using sequential minimal optimization, Advances in Kernel Methods -Support Vector Learning, 1998.