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Joan Mas, Gemma Sanchez, Josep Llados and B. Lamiroy. 2007. An Incremental On-line Parsing Algorithm for Recognizing Sketching Diagrams. 9th IEEE International Conference on Document Analysis and Recognition.452–456.
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Josep Llados and Gemma Sanchez. 2007. Indexing Historical Documents by Word Shape Signatures. 9th International Conference on Document Analysis and Recognition.362–366.
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Oriol Ramos Terrades, Salvatore Tabbone and Ernest Valveny. 2007. A Review of Shape Descriptors for Document Analysis. 9th International Conference on Document Analysis and Recognition.227–231.
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S. Chanda, Oriol Ramos Terrades and Umapada Pal. 2007. SVM Based Scheme for Thai and English Script Identification. 9th International Conference on Document Analysis and Recognition.551–555.
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Josep Llados, Ernest Valveny and Enric Marti. 2000. Symbol Recognition in Document Image Analysis: Methods and Challenges. Recent Research Developments in Pattern Recognition, Transworld Research Network,, 1, 151–178.
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Miquel Ferrer and Ernest Valveny. 2007. Combination of OCR Engines for Page Segmentation based on Performance Evaluation. 9th International Conference on Document Analysis and Recognition.784–788.
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Marçal Rusiñol, Josep Llados and Philippe Dosch. 2007. Camera-Based Graphical Symbol Detection. 9th IEEE International Conference on Document Analysis and Recognition.884–888.
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Jose Antonio Rodriguez, Gemma Sanchez and Josep Llados. 2007. A Pen-based Interface for Real-time Document Edition. 9th International Conference on Document Analysis and Recognition..939–944.
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Agnes Borras and Josep Llados. 2008. A Multi-Scale Layout Descriptor Based on Delaunay Triangulation for Image Retrieval. 3rd International Conference on Computer Vision Theory and Applications VISAPP (2) 2008.139–144.
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Josep Llados, Jaime Lopez-Krahe and Enric Marti. 1996. Hand drawn document understanding using the straight line Hough transform and graph matching. Proceedings of the 13th International Pattern Recognition Conference (ICPR’96). Vienna , Austria, 497–501.
Abstract: This paper presents a system to understand hand drawn architectural drawings in a CAD environment. The procedure is to identify in a floor plan the building elements, stored in a library of patterns, and their spatial relationships. The vectorized input document and the patterns to recognize are represented by attributed graphs. To recognize the patterns as such, we apply a structural approach based on subgraph isomorphism techniques. In spite of their value, graph matching techniques do not recognize adequately those building elements characterized by hatching patterns, i.e. walls. Here we focus on the recognition of hatching patterns and develop a straight line Hough transform based method in order to detect the regions filled in with parallel straight fines. This allows not only to recognize filling patterns, but it actually reduces the computational load associated with the subgraph isomorphism computation. The result is that the document can be redrawn by editing all the patterns recognized
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