C. Ah-soon and K. Tombre, Architectural symbol recognition using a network of constraints, Pattern Recognition Letters, vol.22, issue.2, pp.231-248, 2001.
DOI : 10.1016/S0167-8655(00)00091-X
URL : https://hal.archives-ouvertes.fr/inria-00100823

M. Bar and S. Ullman, Spatial Context in Recognition, Perception, vol.32, issue.3, pp.324-352, 1993.
DOI : 10.1068/p250343

S. Barrat and S. Tabbone, A Bayesian network for combining descriptors: application to symbol recognition, International Journal on Document Analysis and Recognition (IJDAR), vol.28, issue.12, pp.65-75, 2010.
DOI : 10.1007/s10032-009-0103-y
URL : https://hal.archives-ouvertes.fr/inria-00437492

S. Belongie, J. Malik, and J. Puzicha, Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, pp.509-522, 2002.
DOI : 10.1109/34.993558

I. Biederman, Perceiving Real-World Scenes, Science, vol.177, issue.4043, pp.77-80, 1972.
DOI : 10.1126/science.177.4043.77

I. Bloch, Fuzzy relative position between objects in image processing: New definition and properties based on a morphological approach. Uncertainty Fuzziness and Knowledge-Based Systems, pp.99-133, 1999.

P. L. Bodic, H. Locteau, S. Adam, P. Héroux, Y. Lecourtier et al., Symbol Detection Using Region Adjacency Graphs and Integer Linear Programming, 2009 10th International Conference on Document Analysis and Recognition, pp.1320-1324, 2009.
DOI : 10.1109/ICDAR.2009.202
URL : https://hal.archives-ouvertes.fr/inria-00432616

H. Bunke and B. T. Messmer, Efficient attributed graph matching and its application to image analysis, Proceedings of International Conference on Image Analysis and Processing, pp.45-55, 1995.
DOI : 10.1007/3-540-60298-4_235

D. B. Carr, C. J. Young, R. C. Aster, and X. Zhang, Cluster analysis for ctbt seismic event monitoring, 1999.

D. Conte, P. Foggia, C. Sansone, and M. Vento, THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION, International Journal of Pattern Recognition and Artificial Intelligence, vol.18, issue.03, pp.265-298, 2004.
DOI : 10.1142/S0218001404003228
URL : https://hal.archives-ouvertes.fr/hal-01408706

L. P. Cordella and M. Vento, Symbol and Shape Recognition, Graphics Recognition, Recent Advances, pp.167-182, 1941.
DOI : 10.1007/3-540-40953-X_14

L. P. Cordella and M. Vento, Symbol recognition in documents: a collection of techniques?, International Journal on Document Analysis and Recognition, vol.3, issue.2, pp.73-88, 2000.
DOI : 10.1007/s100320000036

M. Coustaty, K. Bertet, M. Visani, and J. Ogier, A New Adaptive Structural Signature for Symbol Recognition by Using a Galois Lattice as a Classifier, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol.41, issue.4, pp.1136-1148, 2011.
DOI : 10.1109/TSMCB.2011.2108646
URL : https://hal.archives-ouvertes.fr/hal-00716561

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

P. Dosch and J. Lladósllad´lladós, Vectorial Signatures for Symbol Discrimination, Graphics Recognition, Recent Advances and Perspectives, pp.154-165, 2004.
DOI : 10.1007/978-3-540-25977-0_14
URL : https://hal.archives-ouvertes.fr/inria-00100002

P. Dosch, K. Tombre, C. Ah-soon, and G. Masini, A complete system for the analysis of architectural drawings, International Journal on Document Analysis and Recognition, vol.3, issue.2, pp.102-116, 2000.
DOI : 10.1007/PL00010901

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

M. Egenhofer and J. R. Herring, Categorizing Binary Topological Relations Between Regions, Lines, and Points in Geographic Databases, 1991.

J. Freeman, The modelling of spatial relations, Computer Graphics and Image Processing, vol.4, issue.2, pp.156-171, 1975.
DOI : 10.1016/S0146-664X(75)80007-4

A. K. Jain and R. C. Dubes, Algorithms for clustering data, 1988.

M. S. Kankanhalli, B. M. Mehtre, and R. K. Wu, Cluster-based color matching for image retrieval, Pattern Recognition, vol.29, issue.4, pp.701-708, 1996.
DOI : 10.1016/0031-3203(95)00097-6

L. B. Kara and T. F. Stahovich, An image-based, trainable symbol recognizer for hand-drawn sketches, Computers & Graphics, vol.29, issue.4, pp.501-517, 2005.
DOI : 10.1016/j.cag.2005.05.004

W. Kim and Y. Kim, A region-based shape descriptor using Zernike moments, Signal Processing: Image Communication, pp.95-102, 2000.
DOI : 10.1016/S0923-5965(00)00019-9

B. Lamiroy and Y. Guebbas, Robust and Precise Circular Arc Detection, Graphics Recognition. Achievements, Challenges, and Evolution, pp.49-60, 2009.
DOI : 10.1007/978-3-642-13728-0_5
URL : https://hal.archives-ouvertes.fr/inria-00516712

W. Lee, L. B. Kara, and T. F. Stahovich, An efficient graph-based recognizer for hand-drawn symbols, Computers & Graphics, vol.31, issue.4, pp.554-567, 2007.
DOI : 10.1016/j.cag.2007.04.007

J. Lladósllad´lladós, E. Martí, and J. J. Villanueva, Symbol recognition by error-tolerant subgraph matching between region adjacency graphs, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.10, pp.1137-1143, 2001.
DOI : 10.1109/34.954603

J. Lladósllad´lladós, E. Valveny, G. Sánchez, and E. Martí, Symbol Recognition: Current Advances and Perspectives, GREC ? Algorithms and Applications, pp.104-127, 2002.
DOI : 10.1007/3-540-45868-9_9

P. Matsakis and L. Wendling, A new way to represent the relative position between areal objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.7, pp.634-643, 1999.
DOI : 10.1109/34.777374

B. T. Messmer and H. Bunke, Efficient subgraph isomorphism detection: a decomposition approach, IEEE Transactions on Knowledge and Data Engineering, vol.12, issue.2, pp.307-323, 2000.
DOI : 10.1109/69.842269

K. Miyajima and A. Ralescu, Spatial Organization in 2D Segmented Images: Representation and Recognition of Primitive Spatial Relations. Fuzzy Sets and Systems, pp.225-236, 1994.

D. Papadias and Y. Theodoridis, Spatial relations, minimum bounding rectangles, and spatial data structures, International Journal of Geographical Information Science, vol.11, issue.2, pp.111-138, 1997.
DOI : 10.1080/136588197242428

T. V. Pham and A. W. Smeulders, Learning spatial relations in object recognition, Pattern Recognition Letters, vol.27, issue.14, pp.1673-1684, 2006.
DOI : 10.1016/j.patrec.2006.03.016

J. Rendek, G. Masini, P. Dosch, and K. Tombre, The Search for Genericity in Graphics Recognition Applications: Design Issues of the Qgar Software System, Proceedings of International Workshop on Document Analysis Systems, pp.366-377, 2004.
DOI : 10.1007/978-3-540-28640-0_35
URL : https://hal.archives-ouvertes.fr/inria-00099949

A. P. Reynolds, G. Richards, B. De-la-iglesia, and V. J. Smith, Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms, Journal of Mathematical Modelling and Algorithms, vol.38, issue.5, pp.475-504, 2006.
DOI : 10.1007/s10852-005-9022-1

F. J. Rohlf and D. R. Fisher, Tests for Hierarchical Structure in Random Data Sets, Systematic Biology, vol.17, issue.4, pp.407-412, 1968.
DOI : 10.1093/sysbio/17.4.407

P. Rousseeuw, Silhouettes: A graphical aid to the interpretation and validation of cluster analysis, Journal of Computational and Applied Mathematics, vol.20, issue.1, pp.53-65, 1987.
DOI : 10.1016/0377-0427(87)90125-7

M. Rusiñolrusi?rusiñol and J. Lladósllad´lladós, Symbol Spotting in Technical Drawings Using Vectorial Signatures, Graphics Recognition. Ten Years Review and Future Perspectives, pp.35-46, 2006.
DOI : 10.1007/11767978_4

M. Rusiñolrusi?rusiñol, A. Borràs, and J. Lladósllad´lladós, Relational indexing of vectorial primitives for symbol spotting in line-drawing images, Pattern Recognition Letters, issue.3, pp.31-188, 2010.

S. Saitta, B. Raphael, and I. F. Smith, A Bounded Index for Cluster Validity, Proceedings of International conference on Machine Learning and Data Mining in Pattern Recognition, pp.174-187, 2007.
DOI : 10.1007/978-3-540-73499-4_14

J. P. Salmon, L. Wendling, and S. Tabbone, Improving the recognition by integrating the combination of descriptors, International Journal of Document Analysis and Recognition (IJDAR), vol.37, issue.1, pp.3-12, 2007.
DOI : 10.1007/s10032-006-0034-9

K. C. Santosh, B. Lamiroy, R. , and J. , Inductive Logic Programming for Symbol Recognition, 2009 10th International Conference on Document Analysis and Recognition, pp.1330-1334, 2009.
DOI : 10.1109/ICDAR.2009.166

K. C. Santosh, L. Wendling, and B. Lamiroy, Unified Pairwise Spatial Relations: An Application to Graphical Symbol Retrieval, Graphics Recognition. Achievements, Challenges, and Evolution, pp.163-174, 2010.
DOI : 10.1007/978-3-642-13728-0_15

K. C. Santosh, B. Lamiroy, and L. Wendling, Dtw for matching radon features: A pattern recognition and retrieval method, Lecture Notes in Computer Science, vol.6915, pp.249-260, 2011.

K. C. Santosh, B. Lamiroy, and L. Wendling, Symbol recognition using spatial relations, Pattern Recognition Letters, vol.33, issue.3, pp.331-341, 2011.
DOI : 10.1016/j.patrec.2011.09.040

K. C. Santosh, B. Lamiroy, and L. Wendling, Spatio-structural Symbol Description with Statistical Feature Add-On, Graphics Recognition. New Trends and Challenges, pp.228-237, 2013.
DOI : 10.1109/34.993558

R. R. Sokal and F. J. Rohlf, The Comparison of Dendrograms by Objective Methods, Taxon, vol.11, issue.2, pp.33-40, 1962.
DOI : 10.2307/1217208

S. Tabbone, L. Wendling, and J. Salmon, A new shape descriptor defined on the Radon transform, Computer Vision and Image Understanding, vol.102, issue.1, pp.42-51, 2006.
DOI : 10.1016/j.cviu.2005.06.005
URL : https://hal.archives-ouvertes.fr/inria-00000643

O. R. Terrades, E. Valveny, and S. Tabbone, On the Combination of Ridgelets Descriptors for Symbol Recognition, Graphics Recognition. Recent Advances and New Opportunities, pp.40-50, 2008.
DOI : 10.1007/978-3-540-88188-9_5
URL : https://hal.archives-ouvertes.fr/inria-00339780

O. R. Terrades, E. Valveny, and S. Tabbone, Optimal Classifier Fusion in a Non-Bayesian Probabilistic Framework, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.9, pp.31-1630, 2009.
DOI : 10.1109/TPAMI.2008.224

K. Tombre, Graphics Recognition???What Else?, Graphics Recognition. Achievements, Challenges, and Evolution, pp.272-277, 2010.
DOI : 10.1007/978-3-642-13728-0_25
URL : https://hal.archives-ouvertes.fr/inria-00497723

K. Tombre and B. Lamiroy, Pattern Recognition Methods for Querying and Browsing Technical Documentation, Proceedings of Iberoamerican Congress on Pattern Recognition, pp.504-518, 2008.
DOI : 10.1109/TPAMI.2004.1261075
URL : https://hal.archives-ouvertes.fr/inria-00321537

K. Tombre, C. Ah-soon, P. Dosch, A. Habed, and G. Masini, Stable, robust and offthe-shelf methods for graphics recognition, Proceedings of International Conference on Pattern Recognition, p.406, 1998.

M. Tooley and D. Wyatt, Aircraft electrical and electronic systems: principles, operation and maintenance. Aircraft engineering principles and practice, 2008.

E. Valveny and E. Martí, A model for image generation and symbol recognition through the deformation of lineal shapes, Pattern Recognition Letters, vol.24, issue.15, pp.2857-2867, 2003.
DOI : 10.1016/S0167-8655(03)00144-2

X. Wang and J. Keller, Human-based spatial relationship generalization through neural/fuzzy approaches. Fuzzy Sets and Systems, pp.5-20, 1999.

L. Wenyin, W. Zhang, Y. , and L. , An interactive example-driven approach to graphics recognition in engineering drawings, International Journal of Document Analysis and Recognition (IJDAR), vol.7, issue.5, pp.13-29, 2007.
DOI : 10.1007/s10032-006-0025-x

X. Xiaogang, S. Zhengxing, P. Binbin, J. Xiangyu, and L. Wenyin, An online composite graphics recognition approach based on matching of spatial relation graphs, Document Analysis and Recognition, vol.7, issue.1, pp.44-55, 2004.
DOI : 10.1007/s10032-004-0126-3

S. Yang, Symbol recognition via statistical integration of pixel-level constraint histograms: a new descriptor, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.2, pp.278-281, 2005.
DOI : 10.1109/TPAMI.2005.38

P. C. Yuen, G. Feng, and Y. Y. Tang, Printed Chinese Character Similarity Measurement Using Ring Projection and Distance Transform, International Journal of Pattern Recognition and Artificial Intelligence, vol.12, issue.02, pp.209-221, 1998.
DOI : 10.1142/S0218001498000142

D. Zhang and G. Lu, Shape-based image retrieval using generic Fourier descriptor, Signal Processing: Image Communication, pp.825-848, 2002.
DOI : 10.1016/S0923-5965(02)00084-X

D. Zhang and G. Lu, Review of shape representation and description techniques, Pattern Recognition, vol.37, issue.1, pp.1-19, 2004.
DOI : 10.1016/j.patcog.2003.07.008

W. Zhang, L. Wenyin, and K. Zhang, Symbol Recognition with Kernel Density Matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.12, pp.2020-2024, 2006.
DOI : 10.1109/TPAMI.2006.254