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Josep Llados, Partha Pratim Roy, Jose Antonio Rodriguez and Gemma Sanchez. 2007. Word Spotting in Archive Documents using Shape Contexts. 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4478:290–297.
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Herve Locteau, Sebastien Mace, Ernest Valveny and Salvatore Tabbone. 2010. Extraction des pieces de un plan de habitation. Colloque Internacional Francophone de l´Ecrit et le Document.1–12.
Abstract: In this article, a method to extract the rooms of an architectural floor plan image is described. We first present a line detection algorithm to extract long lines in the image. Those lines are analyzed to identify the existing walls. From this point, room extraction can be seen as a classical segmentation task for which each region corresponds to a room. The chosen resolution strategy consists in recursively decomposing the image until getting nearly convex regions. The notion of convexity is difficult to quantify, and the selection of separation lines can also be rough. Thus, we take advantage of knowledge associated to architectural floor plans in order to obtain mainly rectangular rooms. Preliminary tests on a set of real documents show promising results.
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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 Indexing Historical Documents by Word Shape Signatures. 9th International Conference on Document Analysis and Recognition.362–366.
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Josep Llados and Gemma Sanchez. 2004. Graph Matching vs. Graph Parsing in Graphics Recognition: A Combined Approach.
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Josep Llados and Gemma Sanchez. 2003. Symbol Recognition Using Graphs.
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Muhammad Muzzamil Luqman, Josep Llados, Jean-Yves Ramel and Thierry Brouard. 2010. A Fuzzy-Interval Based Approach For Explicit Graph Embedding, Recognizing Patterns in Signals, Speech, Images and Video. 20th International Conference on Pattern Recognition. Springer, Heidelberg, 93–98. (LNCS.)
Abstract: We present a new method for explicit graph embedding. Our algorithm extracts a feature vector for an undirected attributed graph. The proposed feature vector encodes details about the number of nodes, number of edges, node degrees, the attributes of nodes and the attributes of edges in the graph. The first two features are for the number of nodes and the number of edges. These are followed by w features for node degrees, m features for k node attributes and n features for l edge attributes — which represent the distribution of node degrees, node attribute values and edge attribute values, and are obtained by defining (in an unsupervised fashion), fuzzy-intervals over the list of node degrees, node attributes and edge attributes. Experimental results are provided for sample data of ICPR2010 contest GEPR.
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Josep Llados, W. Liu and Jean-Marc Ogier. 2007. Seventh IAPR International Workshop on Graphics Recognition GREC 2007.
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Josep Llados, J. Lopez-Krahe and Enric Marti. 1999. A Hough-based method for hatched pattern detection in maps and diagrams..
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Josep Llados and Enric Marti. 1999. A graph-edit algorithm for hand-drawn graphical document recognition and their automatic introduction into CAD systems..
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Josep Llados and Young-Bin Kwon. 2004. Graphics Recognition. Recent Advances and Perspectives.
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