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Author (up) Ernest Valveny; Antonio Lopez
Title Numeral Recognition for Quality Control of Surgical Sachets Type Miscellaneous
Year 2003 Publication Proceedings of the Seventh International Conference on Document Analysis and Recognition (ICDAR´03), 379–383 Abbreviated Journal
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Notes DAG;ADAS Approved no
Call Number ADAS @ adas @ VaL2003 Serial 423
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Author (up) Ernest Valveny; B. Lamiroy
Title Automatic Generation of Browsable Technical Documents. Type Miscellaneous
Year 2002 Publication Proceedings of the Sixteenth International Conference on Pattern Recognition ICPR 2002: 188–191. Abbreviated Journal
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Address Quebec, Canada
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Notes DAG Approved no
Call Number DAG @ dag @ VaL2002 Serial 301
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Author (up) Ernest Valveny; Enric Marti
Title A model for image generation and symbol recognition through the deformation of lineal shapes Type Journal Article
Year 2003 Publication Pattern Recognition Letters Abbreviated Journal PRL
Volume 24 Issue 15 Pages 2857-2867
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Abstract We describe a general framework for the recognition of distorted images of lineal shapes, which relies on three items: a model to represent lineal shapes and their deformations, a model for the generation of distorted binary images and the combination of both models in a common probabilistic framework, where the generation of deformations is related to an internal energy, and the generation of binary images to an external energy. Then, recognition consists in the minimization of a global energy function, performed by using the EM algorithm. This general framework has been applied to the recognition of hand-drawn lineal symbols in graphic documents.
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Publisher Elsevier Science Inc. Place of Publication New York, NY, USA Editor
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ISSN 0167-8655 ISBN Medium
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Notes DAG; IAM Approved no
Call Number IAM @ iam @ VAM2003 Serial 1653
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Author (up) Ernest Valveny; Enric Marti
Title Learning of structural descriptions of graphic symbols using deformable template matching Type Conference Article
Year 2001 Publication Proc. Sixth Int Document Analysis and Recognition Conf Abbreviated Journal
Volume Issue Pages 455-459
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Abstract Accurate symbol recognition in graphic documents needs an accurate representation of the symbols to be recognized. If structural approaches are used for recognition, symbols have to be described in terms of their shape, using structural relationships among extracted features. Unlike statistical pattern recognition, in structural methods, symbols are usually manually defined from expertise knowledge, and not automatically infered from sample images. In this work we explain one approach to learn from examples a representative structural description of a symbol, thus providing better information about shape variability. The description of a symbol is based on a probabilistic model. It consists of a set of lines described by the mean and the variance of line parameters, respectively providing information about the model of the symbol, and its shape variability. The representation of each image in the sample set as a set of lines is achieved using deformable template matching.
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Notes DAG;IAM; Approved no
Call Number IAM @ iam @ VMA2001 Serial 1654
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Author (up) Ernest Valveny; Enric Marti
Title Deformable Template Matching within a Bayesian Framework for Hand-Written Graphic Symbol Recognition Type Journal Article
Year 2000 Publication Graphics Recognition Recent Advances Abbreviated Journal
Volume 1941 Issue Pages 193-208
Keywords
Abstract We describe a method for hand-drawn symbol recognition based on deformable template matching able to handle uncertainty and imprecision inherent to hand-drawing. Symbols are represented as a set of straight lines and their deformations as geometric transformations of these lines. Matching, however, is done over the original binary image to avoid loss of information during line detection. It is defined as an energy minimization problem, using a Bayesian framework which allows to combine fidelity to ideal shape of the symbol and flexibility to modify the symbol in order to get the best fit to the binary input image. Prior to matching, we find the best global transformation of the symbol to start the recognition process, based on the distance between symbol lines and image lines. We have applied this method to the recognition of dimensions and symbols in architectural floor plans and we show its flexibility to recognize distorted symbols.
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Corporate Author Springer Verlag Thesis
Publisher Springer Verlag Place of Publication Editor
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Series Editor Series Title Abbreviated Series Title
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Area Expedition Conference
Notes DAG;IAM; Approved no
Call Number IAM @ iam @ MVA2000 Serial 1655
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Author (up) Ernest Valveny; Enric Marti
Title Hand-drawn symbol recognition in graphic documents using deformable template matching and a Bayesian framework Type Conference Article
Year 2000 Publication Proc. 15th Int Pattern Recognition Conf Abbreviated Journal
Volume 2 Issue Pages 239-242
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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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Publisher Place of Publication Editor
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Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN 0-7695-0750-6 Medium
Area Expedition Conference
Notes DAG;IAM; Approved no
Call Number IAM @ iam @ VAM2000 Serial 1656
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Author (up) Ernest Valveny; Enric Marti
Title Application of deformable template matching to symbol recognition in hand-written architectural draw Type Conference Article
Year 1999 Publication Proceedings of the Fifth International Conference on Abbreviated Journal
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Abstract We propose to use deformable template matching as a new approach to recognize characters and lineal symbols in hand-written line drawings, instead of traditional methods based on vectorization and feature extraction. Bayesian formulation of the deformable template matching allows combining fidelity to the ideal shape of the symbol with maximum flexibility to get the best fit to the input image. Lineal nature of symbols can be exploited to define a suitable representation of models and the set of deformations to be applied to them. Matching, however, is done over the original binary image to avoid losing relevant features during vectorization. We have applied this method to hand-written architectural drawings and experimental results demonstrate that symbols with high distortions from ideal shape can be accurately identified.
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Corporate Author Thesis
Publisher Place of Publication Bangalore (India) Editor
Language Summary Language Original Title
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Notes DAG;IAM; Approved no
Call Number IAM @ iam @ VAM1999a Serial 1657
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Author (up) Ernest Valveny; Enric Marti
Title Recognition of lineal symbols in hand-written drawings using deformable template matching Type Conference Article
Year 1999 Publication Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Análisis de Imágenes Abbreviated Journal
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Notes DAG;IAM; Approved no
Call Number IAM @ iam @ VAM1999 Serial 1658
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Author (up) Ernest Valveny; Enric Marti
Title Dimensions analysis in hand-drawn architectural drawings Type Conference Article
Year 1997 Publication VII National Simposium of Pattern Recognition and image Analysis, SNRFAI´97 Abbreviated Journal
Volume Issue Pages 90-91
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Corporate Author Thesis
Publisher Place of Publication CVC-UAB Editor
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Notes DAG;IAM; Approved no
Call Number IAM @ iam @ VAM1997 Serial 1659
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Author (up) Ernest Valveny; Miquel Ferrer
Title Application of Graph Embedding to Solve Graph Matchin Problems Type Conference Article
Year 2008 Publication Colloque International Francophone sur l’Ecrit et le Document Abbreviated Journal
Volume Issue Pages 13–18
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Address Rouen (France)
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Area Expedition Conference CIFED’08
Notes DAG Approved no
Call Number DAG @ dag @ VaF2008 Serial 1063
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Author (up) Ernest Valveny; Oriol Ramos Terrades; Joan Mas; Marçal Rusiñol
Title Interactive Document Retrieval and Classification. Type Book Chapter
Year 2013 Publication Multimodal Interaction in Image and Video Applications Abbreviated Journal
Volume 48 Issue Pages 17-30
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Abstract In this chapter we describe a system for document retrieval and classification following the interactive-predictive framework. In particular, the system addresses two different scenarios of document analysis: document classification based on visual appearance and logo detection. These two classical problems of document analysis are formulated following the interactive-predictive model, taking the user interaction into account to make easier the process of annotating and labelling the documents. A system implementing this model in a real scenario is presented and analyzed. This system also takes advantage of active learning techniques to speed up the task of labelling the documents.
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Publisher Springer Berlin Heidelberg Place of Publication Editor Angel Sappa; Jordi Vitria
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ISSN 1868-4394 ISBN 978-3-642-35931-6 Medium
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Notes DAG Approved no
Call Number Admin @ si @ VRM2013 Serial 2341
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Author (up) Ernest Valveny; Philippe Dosch
Title Symbol Recognition Contest: A Synthesis Type Miscellaneous
Year 2004 Publication Graphics Recognition: Recent Advances and Perspectives, J. Llados, Y.B. Kwon (Eds.), Lecture Notes in Computer Science, 3088:368–386, ISBN: 3–540–22478–5 Abbreviated Journal
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Address Springer-Verlag
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Notes DAG Approved no
Call Number DAG @ dag @ VaD2004b Serial 501
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Author (up) Ernest Valveny; Philippe Dosch
Title Performance Evaluation of Symbol Recognition Type Book Chapter
Year 2004 Publication Document Analysis Systems Abbreviated Journal LNCS
Volume 3163 Issue Pages 354–365
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Address Springer-Verlag
Corporate Author Thesis
Publisher Place of Publication Editor S. Marinai, A. Dengel (Eds.),
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ISSN ISBN 3-540-23060-2 Medium
Area Expedition Conference
Notes DAG Approved no
Call Number DAG @ dag @ VaD2004a Serial 502
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Author (up) Ernest Valveny; Philippe Dosch
Title A general framework for the evaluation of symbol recognition methods Type Journal
Year 2006 Publication International Journal on Document Analysis and Recognition Abbreviated Journal
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Notes DAG Approved no
Call Number DAG @ dag @ VaD2006 Serial 686
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Author (up) Ernest Valveny; Philippe Dosch
Title A General Framework for the Evaluation of Symbol Recognition Methods Type Journal
Year 2007 Publication International Journal on Document Analysis and Recognition, vol. 9(1), pp 59–74 Abbreviated Journal
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Notes DAG Approved no
Call Number DAG @ dag @ VaD2007 Serial 893
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