E. Sous-ensemble-flou-soit, . Un-ensemble-dénombrable-ou-non, and . De-référence, Un sous-ensemble flou A de E est défini par une fonction d'appartenance de µ A ` a valeurs dans [0; 1] qui associè a chaqué elément x de E un degré d'appartenance µ A (x)

. On-peut-noter, pour le cas particulier ou la fonction d'appartenance µ A prend ses valeurs dans {0

S. On-appelle-support-de and A. Supp, A), l'ensemble desélémentsdeséléments de E pour lesquels le degré d'appartenancè a A n'est pas nul : Supp(A)

N. On-appelle-noyau-de and A. , A), l'ensemble desélémentsdeséléments de E pour lesquels le degré d'appartenancè a A estégaìestégaì a 1 : N oy(A)

]. J. Bibliographie-[-ahf-+-07, C. Atif, G. Hudelot, I. Fouquier, E. Bloch et al., From generic knowledge to specific reasoning for medical image interpretation using graph-based representations, Proceedings of the 20th International Joint Conference on Artificial Intelligence, pp.224-229, 2007.

A. Awal, H. Mouchere, and C. Viard-gaudin, Improving Online Handwritten Mathematical Expressions Recognition with Contextual Modeling, 2010 12th International Conference on Frontiers in Handwriting Recognition, pp.427-432, 2010.
DOI : 10.1109/ICFHR.2010.73

URL : https://hal.archives-ouvertes.fr/hal-00518458

S. [. Aly, . Uchida, A. Fujiyoshi, and M. Suzuki, Statistical Classification of Spatial Relationships among Mathematical Symbols, 2009 10th International Conference on Document Analysis and Recognition, pp.1350-1354, 2009.
DOI : 10.1109/ICDAR.2009.90

]. A. Awa10 and . Awal, Reconnaissance de structures bidimensionnelles : Application aux expressions mathématiques manuscrites en-ligne, 2010.

O. [. Bloch, R. M. Colliot, and . Cesar-jr, On the ternary spatial relation "Between", IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.36, issue.2, pp.312-327, 2006.
DOI : 10.1109/TSMCB.2005.857095

URL : https://hal.archives-ouvertes.fr/hal-01251251

]. I. Blo99 and . Bloch, Fuzzy relative position between objects in image processing : a morphological approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.7, pp.657-664, 1999.

]. I. Blo06 and . Bloch, Fuzzy Spatial Relationships for Model-Based Pattern Recognition in Images and Spatial Reasoning Under Imprecision, Lecture Notes In Computer Science, p.2955164, 2006.

]. I. Blo09 and . Bloch, Bipolar Fuzzy Mathematical Morphology for Spatial Reasoning, Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing, p.34, 2009.

]. I. Blo11 and . Bloch, Lattices of fuzzy sets and bipolar fuzzy sets, and mathematical morphology, Information Sciences, vol.181, pp.2002-2015, 2011.

S. [. Bouteruche, E. Macé, and . Anquetil, Fuzzy relative positionning for on-line handwritten stroke analysis, Proceedings of the 10th International Workshop on Frontiers in Handwriting Recognition, pp.391-396, 2006.

. [. Bibliographie, P. Bondugula, J. M. Matsakis, and . Keller, Force histograms and neural networks for human-based spatial relationship generalization, Proceedings of Int. Conf. on Neural Networks and Computational Intelligence, 2004.

A. [. Bloch and . Ralescu, Directional relative position between objects in image processing: a comparison between fuzzy approaches, Pattern Recognition, vol.36, issue.7, pp.1563-1582, 2003.
DOI : 10.1016/S0031-3203(02)00263-7

A. [. Bloch and . Safflotti, Intelligent Systems for Information Processing : From Representation to Applications, chapter On the Representation of Fuzzy Spatial Relations in Robot Maps, 2003.

S. [. Cinbis and . Aksoy, Relative Position-Based Spatial Relationships using Mathematical Morphology, 2007 IEEE International Conference on Image Processing, pp.97-100, 2007.
DOI : 10.1109/ICIP.2007.4379101

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.156

S. [. Cinbis and . Aksoy, Image mining using directional spatial constraints. IEEE Geoscience and Remote Sensing Letters, Special Issue on Image Information Mining : Pursuing Automation of Geospatial Intelligence for Environment and Security, 2009.

Y. [. Chan and . Cheung, Fuzzy-attribute graph with application to chinese character recognition. Systems, Man and Cybernetics, IEEE Transactions on, vol.22, issue.1, pp.153-160, 1992.

O. [. Colliot, I. Camara, and . Bloch, Integration of fuzzy spatial relations in deformable models???Application to brain MRI segmentation, Pattern Recognition, vol.39, issue.8, pp.391401-1414, 2006.
DOI : 10.1016/j.patcog.2006.02.022

URL : https://hal.archives-ouvertes.fr/hal-00878443

]. S. Cha07 and . Cha, Comprehensive survey on distance/similarity measures between probability density functions, International Journal of Mathematical Models and Methods in Applied Sciences, vol.1, issue.2, p.1, 2007.

J. [. Cho and . Kim, Bayesian network modeling of strokes and their relationships for on-line handwriting recognition, Pattern Recognition, vol.37, issue.2, pp.253-264, 2004.
DOI : 10.1016/j.patcog.2003.01.001

J. [. Coros, P. Ni, and . Matsakis, Object localization based on directional information case of 2D vector data, Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems , GIS '06, pp.163-170, 2006.
DOI : 10.1145/1183471.1183499

. [. Clark, P. A. Carpenter, and J. M. , Visual information processing, chapter On the meeting of semantics and perception, pp.311-381, 1973.

S. [. Carlson and . Van-deman, The space in spatial language, Journal of Memory and Language, vol.51, issue.3, pp.418-436, 2004.
DOI : 10.1016/j.jml.2004.06.004

]. R. Bibliographie-[-deh02 and . Dehak, Inférence Quantitative des Relations Spatiales Directionnelles, 2002.

C. [. Dai, B. Liu, and . Xiao, Chinese character recognition: history, status and prospects, Frontiers of Computer Science in China, vol.4, issue.2, pp.126-136, 2007.
DOI : 10.1007/s11704-007-0012-5

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.486.6191

H. [. Dubois and . Prade, Tolerant fuzzy pattern matching : An introduction. Fuzziness in Database Management Systems, pp.42-58, 1995.
DOI : 10.1007/978-3-7908-1897-0_3

H. [. Dubois and . Prade, Bipolarity in Flexible Querying, Lecture Notes On Artificial Intelligence, pp.174-182, 2002.
DOI : 10.1007/3-540-36109-X_14

URL : https://hal.archives-ouvertes.fr/hal-01212927

S. [. De-tré, A. J. Zadrozny, and . Bronselaer, Handling bipolarity in elementary queries to possibilistic databases. Fuzzy Systems, IEEE Transactions on, vol.18, issue.3, pp.599-612, 2010.

J. [. Egenhofer and . Herring, Categorizing binary topological relations between regions, lines, and points in geographic databases, 1991.

[. Fitzgerald, F. Geiselbrechtinger, and T. Kechadi, Mathpad: A Fuzzy Logic-Based Recognition System for Handwritten Mathematics, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007.
DOI : 10.1109/ICDAR.2007.4377004

]. J. Fre75 and . Freeman, The modelling of spatial relations, Computer Graphics and Image Processing, vol.4, issue.2, pp.156-171, 1975.

]. P. Gad97 and . Gader, Fuzzy spatial relations based on fuzzy morphology, Proc. Sixth IEEE International Conference on Fuzzy Systems, pp.1179-1183, 1997.

]. K. Gap95a and . Gapp, Basic meanings of spatial relations : Computation and evaluation in 3d space, Proceedings of the National Conference on Artificial Intelligence, pp.1393-1393, 1995.

]. K. Gap95b and . Gapp, An empirically validated model for computing spatial relations. KI-95 : Advances in Artificial Intelligence, pp.245-256, 1995.

E. Grosicki, M. Carre, J. M. Brodin, and E. Geoffrois, Results of the RIMES Evaluation Campaign for Handwritten Mail Processing, 2009 10th International Conference on Document Analysis and Recognition, pp.941-945, 2009.
DOI : 10.1109/ICDAR.2009.224

H. [. Grosicki and . Abed, ICDAR 2009 Handwriting Recognition Competition, 2009 10th International Conference on Document Analysis and Recognition, pp.1398-1402, 2009.
DOI : 10.1109/ICDAR.2009.184

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.212.2112

T. [. Genoe and . Kechadi, On the recognition of online handwritten mathematics using feature-based fuzzy rules and relationship precedence, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence), pp.1641-1646, 2008.
DOI : 10.1109/FUZZY.2008.4630591

. [. Bibliographie, A. H. Guichard, B. Toselli, and . Coüasnon, Handwritten word verification by svm-based hypotheses re-scoring and multiple thresholds rejection, 12th International Conference on Frontiers in Handwriting Recognition, pp.57-62, 2010.

J. [. Hudelot, I. Atif, and . Bloch, Fuzzy spatial relation ontology for image interpretation. Fuzzy Sets and Systems, pp.1929-1951, 2008.
DOI : 10.1016/j.fss.2008.02.011

URL : https://hal.archives-ouvertes.fr/hal-00824590

M. [. Hayward and . Tarr, Spatial language and spatial representation, Cognition, vol.55, issue.1, pp.39-84, 1995.
DOI : 10.1016/0010-0277(94)00643-Y

F. [. Kelleher and . Costello, Cognitive representations of projective prepositions, Proceedings of the Second ACL-Sigsem Workshop of The Linguistic Dimensions of Prepositions and their Use in Computational Linguistic Formalisms and Applications, 2005.

T. [. Kóczy, J. A. Gedeon, and . Kóczy, Fuzzy tolerance relations and relational maps applied to information retrieval. Fuzzy sets and systems, pp.49-61, 2002.

J. [. Kim and . Kim, Statistical Character Structure Modeling and Its Application to Handwritten Chinese Character Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.1422-1436, 2003.

J. [. Kang and . Kim, Utilization of hierarchical, stochastic relationship modeling for hangul character recognition. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.26, issue.9, pp.1185-1196, 2004.

T. [. Kojima and . Kusumi, How do we judge the acceptability of spatial terms?, 2005 International Conference on Cyberworlds (CW'05), pp.406-412, 2005.
DOI : 10.1109/CW.2005.50

J. [. Kim and . Kim, Top-Down Search with Bottom-Up Evidence for Recognizing Handwritten Mathematical Expressions, 2010 12th International Conference on Frontiers in Handwriting Recognition, pp.507-512, 2010.
DOI : 10.1109/ICFHR.2010.84

L. [. Lee, T. F. Kara, and . 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

. [. Liu, M. M. Cham, and . Chang, Stroke order and stroke number free on-line chinese character recognition using attributed relational graph matching, Proceedings of the 13th International Conference on Pattern Recognition, pp.259-263, 1996.

S. [. Liu, M. Jaeger, and . Nakagawa, Online recognition of chinese characters : the state-of-the-art, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.2, pp.198-213, 2004.

. L. Bibliographie-[-lkk01-]-c, I. J. Liu, J. H. Kim, and . Kim, Model-based stroke extraction and matching for handwritten Chinese character recognition, Pattern Recognition, vol.34, issue.12, pp.2339-2352, 2001.

]. G. Log94 and . Logan, Spatial attention and the apprehension of spatial relations, Journal of Experimental Psychology : Human Perception and Performance, vol.20, issue.5, p.1015, 1994.

D. [. Logan and . Sadler, Language and Space, chapter A Computational Analysis of the Apprehension of Spatial Relations, 1999.

T. Li, B. Shu, X. Qiu, and Z. Wang, A complete descriptor of line-segmentpair for symbol recognition, Proceedings of the International Conference on Computer Graphics, pp.89-95, 2009.

T. [. Marukatat and . Artì-eres, Handling Spatial Information in On-Line Handwriting Recognition, Ninth International Workshop on Frontiers in Handwriting Recognition, pp.14-19, 2004.
DOI : 10.1109/IWFHR.2004.48

URL : https://hal.archives-ouvertes.fr/hal-01497774

E. [. Macé and . Anquetil, Eager interpretation of on-line hand-drawn structured documents: The DALI methodology, Pattern Recognition, vol.42, issue.12, pp.3202-3214, 2009.
DOI : 10.1016/j.patcog.2008.10.018

]. S. Mar04, . Marukatatmat02-]-p, and . Matsakis, Une approche générique pour la reconnaissance de signauxécrits signauxécrits en ligne Understanding the spatial organization of image regions by means of force histograms : a guided tour, Applying Soft Computing in Defining Spatial Relations of Studies in Fuzziness and Soft Computing, pp.99-122, 2002.

G. [. Matthé and . Tré, Bipolar query satisfaction using satisfaction and dissatisfaction degrees, Proceedings of the 2009 ACM symposium on Applied Computing, SAC '09, pp.1699-1703, 2009.
DOI : 10.1145/1529282.1529664

C. [. Ma and . Liu, A new radical-based approach to online handwritten Chinese character recognition, 2008 19th International Conference on Pattern Recognition, 2008.
DOI : 10.1109/ICPR.2008.4761207

C. [. Ma and . Liu, On-Line Handwritten Chinese Character Recognition Based on Nested Segmentation of Radicals, 2009 Chinese Conference on Pattern Recognition, 2009.
DOI : 10.1109/CCPR.2009.5343976

B. [. Mas, G. Lamiroy, J. Sánchez, and . Lladós, Automatic learning of symbol descriptions avoiding topological ambiguities, Proceedings of the 3rd Eurographics Workshop on Sketch-Based Interfaces and Modeling, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00104537

J. [. Matsakis, X. Ni, and . Wang, Object Localization Based on Directional Information: Case of 2D Raster Data, 18th International Conference on Pattern Recognition (ICPR'06), pp.142-146, 2006.
DOI : 10.1109/ICPR.2006.879

A. [. Miyajima and . Ralescu, Spatial organization in 2D images, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, pp.100-105, 1994.
DOI : 10.1109/FUZZY.1994.343710

L. [. Matsakis and . Sztandera, Applying soft computing in defining spatial relations, of Studies in Fuzziness and Soft Computing, 2002.
DOI : 10.1007/978-3-7908-1752-2

G. [. Mas, J. Sanchez, and . Llados, An Adjacency Grammar to Recognize Symbols and Gestures in a Digital Pen Framework, Pattern Recognition and Image Analysis Lecture Notes in Computer Science, vol.3523, pp.25-72, 2005.
DOI : 10.1007/11492542_15

G. [. Mas, J. Sanchez, B. Llados, and . Lamiroy, An Incremental On-line Parsing Algorithm for Recognizing Sketching Diagrams, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), pp.452-456, 2007.
DOI : 10.1109/ICDAR.2007.4378750

URL : https://hal.archives-ouvertes.fr/inria-00186621

C. H. Mouchère, U. Viard-gaudin, D. H. Garain, J. H. Kim, and . Kim, CROHME2011: Competition on Recognition of Online Handwritten Mathematical Expressions, 2011 International Conference on Document Analysis and Recognition, pp.1497-1500, 2011.
DOI : 10.1109/ICDAR.2011.297

L. [. Matsakis and . 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

L. [. Matsakis, J. Wendling, and . Ni, A General Approach to the Fuzzy Modeling of Spatial Relationships, Methods for Handling Imperfect Spatial Information of Studies in Fuzziness and Soft Computing, pp.49-74
DOI : 10.1007/978-3-642-14755-5_3

[. Niels, D. Willems, and L. Vuurpijl, The nicicon database of handwritten icons, Proceedings of the 11th International Conference on the Frontiers of Handwriting Recognition, pp.296-301, 2008.

R. [. Ota, S. Yamamoto, S. Sako, and . Sagayama, On-line handwritten kanji recognition based on inter-stroke grammar, Proceedings of the 9th International Conference on Document Analysis and Recognition, pp.1188-1192, 2007.

K. [. Pu and . Ramani, Implicit geometric constraint detection in freehand sketches using relative shape histogram, Proceedings of the 4th Eurographics workshop on Sketch-based interfaces and modeling, SBIM '07, pp.107-113, 2007.
DOI : 10.1145/1384429.1384453

[. Perez and E. Vidal, Optimum polygonal approximation of digitized curves, Pattern Recognition Letters, vol.15, issue.8, pp.743-750, 1993.
DOI : 10.1016/0167-8655(94)90002-7

. [. Bibliographie, F. Quiniou, E. Bouteruche, and . Anquetil, Word extraction associated with a confidence index for on-line handwritten sentence recognition, International Journal of Pattern Recognition and Artificial Intelligence, vol.23, issue.5, pp.945-966, 2009.

]. J. [-ren02 and . Renz, Qualitative spatial reasoning with topological information, volume 2293, 2002.

E. [. Rosenfeld and . Johnston, Angle detection on digital curves. Computers, IEEE Transactions on, vol.100, issue.9, pp.875-878, 1973.

T. [. Sicard and . Artì-eres, Modelling sequences using pairwise relational features, Pattern Recognition, vol.42, issue.9, pp.1922-1931, 2009.
DOI : 10.1016/j.patcog.2008.11.023

URL : https://hal.archives-ouvertes.fr/hal-01172412

T. [. Sicard, E. Artì, and . Petit, Modeling on-line handwriting using pairwise relational features, Proceedings of the 10th International Workshop on Frontiers in Handwriting Recognition, pp.267-274, 2006.
DOI : 10.1016/j.patcog.2008.11.023

URL : https://hal.archives-ouvertes.fr/inria-00104883

]. K. Say73 and . Sayre, Machine recognition of handwritten words : A project report, Pattern Recognition, vol.5, issue.3, pp.213-228, 1973.

]. J. Ser83 and . Serra, Image Analysis and Mathematical Morphology, 1983.

]. J. Shi02 and . Shin, Optimal stroke-correspondence search method for on-line character recognition, Pattern recognition letters, vol.23, issue.5, pp.601-608, 2002.

J. [. Sledge and . Keller, Mapping natural language to imagery: Placing objects intelligently, 2009 IEEE International Conference on Fuzzy Systems, pp.518-523, 2009.
DOI : 10.1109/FUZZY.2009.5277062

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

]. K. Swl10a, L. Santosh, B. Wendling, and . Lamiroy, Unified pairwise spatial relations : An application to graphical symbol retrieval, Graphics Recognition. Achievements, Challenges, and Evolution, 2010.

]. K. Swl10b, L. Santosh, B. Wendling, and . Lamiroy, Using spatial relations for graphical symbol description, Proceedings of the 20th International Conference on Pattern Recognition, 2010.

]. L. Wen03 and . Wenyin, On-line graphics recognition : State-of-the-art, Proceedings of the 5th IAPR International Workshop on Graphics Recognition, 2003.

[. Wang and K. Fan, Optical recognition of handwritten Chinese characters by hierarchical radical matching method, Pattern Recognition, vol.34, issue.1, pp.15-35, 2001.
DOI : 10.1016/S0031-3203(99)00207-1

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

. [. Bibliographie, J. M. Wang, P. Keller, and . Gader, Using spatial relationships as features in object recognition, Proc. Annual Meeting of the North American Fuzzy Information Processing Society, pp.160-165, 1997.

F. [. Wang and . Makedon, R-Histogram, Proceedings of the eleventh ACM international conference on Multimedia , MULTIMEDIA '03, pp.323-326, 2003.
DOI : 10.1145/957013.957082

J. [. Wang, P. Ni, and . Matsakis, Fuzzy object localization based on directional (and distance) information, Proceedings of the 2006 IEEE International Conference on Fuzzy Systems, pp.256-263, 2006.

]. D. Wnvgv09, R. Willems, M. Niels, L. Van-gerven, and . Vuurpijl, Iconic and multi-stroke gesture recognition, Pattern Recognition, vol.42, issue.12, pp.3303-3312, 2009.

V. [. Xue and . Govindaraju, Incorporating contextual character geometry in word recognition, Proceedings of the 8th International Workshop on Frontiers in Handwriting Recognition, pp.123-127, 2002.

]. Z. Xu07 and . Xu, Intuitionistic fuzzy aggregation operators. Fuzzy Systems, IEEE Transactions on, vol.15, issue.6, pp.1179-1187, 2007.

S. Xiaogang, P. Zhengxing, J. Binbin, L. Xiangyu, and . 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

Q. [. Yin, C. L. Wang, and . Liu, Integrating Geometric Context for Text Alignment of Handwritten Chinese Documents, 2010 12th International Conference on Frontiers in Handwriting Recognition, pp.7-12, 2010.
DOI : 10.1109/ICFHR.2010.9

]. L. Zad65 and . Zadeh, Fuzzy Sets, Information and Control, vol.8, pp.338-353, 1965.

]. L. Zad78 and . Zadeh, Fuzzy sets as a basis for a theory of possibility, International Journal on Fuzzy Sets and Systems, vol.1, issue.1, pp.3-28, 1978.

D. [. Zanibbi, J. R. Blostein, and . Cordy, Recognizing mathematical expressions using tree transformation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.11, pp.1455-1467, 2002.
DOI : 10.1109/TPAMI.2002.1046157

D. [. Zhang, R. Blostein, and . Zanibbi, Using fuzzy logic to analyze superscript and subscript relations in handwritten mathematical expressions, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), pp.972-976, 2005.
DOI : 10.1109/ICDAR.2005.250

X. [. Zheng, Y. Ding, and . Wu, Recognizing on-line handwritten Chinese character via FARG matching, Proceedings of the Fourth International Conference on Document Analysis and Recognition, pp.621-624, 1997.
DOI : 10.1109/ICDAR.1997.620578

Z. [. Zeng and . Liu, Markov Random Field-Based Statistical Character Structure Modeling for Handwritten Chinese Character Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.5, pp.767-780, 2008.
DOI : 10.1109/TPAMI.2007.70734

]. X. Bibliographie-[-zyl-+-07, J. Zhou, C. Yu, T. Liu, K. Nagasaki et al., On-line handwritten japanese character string recognition incorporating geometric context, Proceedings of the 9th International Conference on Document Analysis and Recognition, pp.48-52, 2007.

X. [. Zhu, C. L. Zhou, M. Liu, and . Nakagawa, A robust model for on-line handwritten japanese text recognition, International Journal on Document Analysis and Recognition (IJDAR), vol.22, issue.12, pp.121-131, 2010.
DOI : 10.1007/s10032-009-0111-y

D. , A. Delaye, and E. Anquetil, Learning of fuzzy spatial relations between handwritten patterns, International Journal on Data Mining, Modelling and Management, Special issue on Pattern Recognition, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00735545

. Conférence-internationale-[-da11-]-a, E. Delaye, and . Anquetil, Fuzzy Relative Positioning Templates for Symbol Recognition, Proceedings of the 11th International Conference on Document Analysis and Recognition (ICDAR'11), pp.1220-1224, 2011.

P. Li, A. Delaye, and E. Anquetil, Evaluation of Continous Marking Menus for Learning Cursive Pen-based Commands, Proceedings of the 15th conference of the International Graphonomics Society (IGS'11), pp.217-220, 2011.

R. [. Delaye, E. Sekkal, and . Anquetil, Continuous marking menus for learning cursive pen-based gestures, Proceedings of the 15th international conference on Intelligent user interfaces, IUI '11, pp.319-322, 2011.
DOI : 10.1145/1943403.1943455

URL : https://hal.archives-ouvertes.fr/inria-00567330

]. A. Da10a, E. Delaye, and . Anquetil, Learning Spatial Relationships in hand-drawn Patterns using fuzzy Mathematical Morphology, Proceedings of the International Conference on Soft Computing for Pattern Recognition (SoCPaR'10), pp.162-167, 2010.

[. Ma, A. Delaye, and C. Liu, Special Radical Detection by Statistical Classification for Online Handwritten Chinese Character Recognition, Proceedings of the International Conference on Frontiers in Handwriting Recognition (ICFHR'10), pp.501-506, 2010.

E. [. Delaye, S. Anquetil, and . Macé, Explicit Fuzzy Modeling of Shapes and Positioning for Handwritten Chinese Character Recognition, 2009 10th International Conference on Document Analysis and Recognition, pp.1125-1129, 2009.
DOI : 10.1109/ICDAR.2009.141

URL : https://hal.archives-ouvertes.fr/inria-00399305

]. A. Dma09b, S. Delaye, E. Macé, and . Anquetil, Modeling Relative Positioning of Handwritten Patterns, Proceedings of the 14th conference of the International Graphonomics Society, 2009.

]. A. Dma08a, S. Delaye, E. Macé, and . Anquetil, Hybrid statistical-structural recognition of Chinese characters with Fuzzy Inference System, Proccedings of the 19th International Conference on Pattern Recognition (ICPR'08), 2008.

]. A. Conférence-nationale-[-da10b, E. Delaye, and . Anquetil, Modélisation du positionnement relatif de tracés manuscrits par morphologie mathématique floue, dans Actes du 17ème Congrès Francophone de Reconnaissance des Formes et d'Intelligence Artificielle (RFIA'10), 2010.

]. A. Da10c, E. Delaye, and . Anquetil, Apprentissage de relations spatiales floues pour la reconnaissance de tracés manuscrits dans Actes du 5` eme l'atelier Représentation et Raisonnement sur le Temps et l'Espace (RTE'10), pp.9-12, 2010.

H. [. Delaye and . Mouchère, Vers une approche générique pour la reconnaissance de formes manuscrites structurées : application auxéquationsauxéquations mathématiques et aux caractères chinois, dans Actes du 11ème Colloque International Francophone sur l'Ecrit et le Document (CIFED'10), pp.297-312, 2010.

]. A. Dma08b, S. Delaye, E. E. Macé, and . Anquetil, Reconnaissance hybride statistiquestructurelle de sinogrammes par Système d'Inférence Floue, dans Actes du 10ème Colloque International Francophone sur l'Ecrit et le Document (CI- FED'08), pp.49-54, 2008.