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Ernest Valveny and Philippe Dosch. 2004. Performance Evaluation of Symbol Recognition. In S. Marinai, A.D.(E.),, ed. Document Analysis Systems.354–365.
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Jon Almazan, Albert Gordo, Alicia Fornes and Ernest Valveny. 2012. Efficient Exemplar Word Spotting. 23rd British Machine Vision Conference.67.1–67.11.
Abstract: In this paper we propose an unsupervised segmentation-free method for word spotting in document images.
Documents are represented with a grid of HOG descriptors, and a sliding window approach is used to locate the document regions that are most similar to the query. We use the exemplar SVM framework to produce a better representation of the query in an unsupervised way. Finally, the document descriptors are precomputed and compressed with Product Quantization. This offers two advantages: first, a large number of documents can be kept in RAM memory at the same time. Second, the sliding window becomes significantly faster since distances between quantized HOG descriptors can be precomputed. Our results significantly outperform other segmentation-free methods in the literature, both in accuracy and in speed and memory usage.
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Ernest Valveny and Enric Marti. 2000. Hand-drawn symbol recognition in graphic documents using deformable template matching and a Bayesian framework. Proc. 15th Int Pattern Recognition Conf.239–242.
Abstract: Hand-drawn symbols can take many different and distorted shapes from their ideal representation. Then, very flexible methods are needed to be able to handle unconstrained drawings. We propose here to extend our previous work in hand-drawn symbol recognition based on a Bayesian framework and deformable template matching. This approach gets flexibility enough to fit distorted shapes in the drawing while keeping fidelity to the ideal shape of the symbol. In this work, we define the similarity measure between an image and a symbol based on the distance from every pixel in the image to the lines in the symbol. Matching is carried out using an implementation of the EM algorithm. Thus, we can improve recognition rates and computation time with respect to our previous formulation based on a simulated annealing algorithm.
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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, Felipe Lumbreras and X. Varona. 1999. A multidocument platform for automatic reading of identity cards..
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A. Pujol and 6 others. 1999. Real time pharmaceutical product recognition using color and shape indexing. Proceedings of the 2nd International Workshop on European Scientific and Industrial Collaboration (WESIC´99), Promotoring Advanced Technologies in Manufacturing..
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Josep Llados, Gemma Sanchez and Enric Marti. 1997. A String-Based Method to Recognize Symbols and Structural Textures in Architectural Plans..
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Jordi Vitria and 6 others. 1999. Real time recognition of pharmaceutical products by subspace methods.
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V. Chapaprieta and Ernest Valveny. 2001. Handwritten Digit Recognition Using Point Distribution Models..
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Josep Llados. 1996. Interpretacio de dibuixos linials fets a ma alçada mitjançant isomorfisme entre subgrafs i transformacio de Hough.
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