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Author Oriol Ramos Terrades; Ernest Valveny edit  openurl
  Title Indexing Technical Symbols Using Ridgelets Transform Type Miscellaneous
  Year 2004 Publication (up) Graphics Recognition: Recent Advances and Perspectives, J. Llados, Y.B. Kwon (Eds.), Lecture Notes in Computer Science, 3088:177–187, ISBN: 3–540–22478–5 Abbreviated Journal  
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  Address Springer-Verlag  
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  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number DAG @ dag @ VaD2004c Serial 503  
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Author Ernest Valveny; Philippe Dosch edit  openurl
  Title Symbol Recognition Contest: A Synthesis Type Miscellaneous
  Year 2004 Publication (up) 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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  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number DAG @ dag @ VaD2004b Serial 501  
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Author Gemma Sanchez; Josep Llados edit  openurl
  Title Syntactic models to represent perceptually regular repetitive patterns in graphic documents Type Miscellaneous
  Year 2004 Publication (up) Graphics Recognition: Recent Advances and Perspectives, Lecture Notes in Computer Science, J. Llados, Y.B. Kwon (Eds.), 3088:162–171 Abbreviated Journal  
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  Address Springer-Verlag  
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  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number DAG @ dag @ SaL2004 Serial 462  
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Author Joan Mas; Gemma Sanchez; Josep Llados edit  openurl
  Title An Incremental Parser to Recognize Diagram Symbols and Gestures represented by Adjacency Grammars Type Book Whole
  Year 2006 Publication (up) Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 252–263 Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ MSL2006a Serial 711  
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Author Alicia Fornes; Josep Llados; Gemma Sanchez edit  openurl
  Title Primitive Segmentation in Old Handwritten Music Scores Type Book Chapter
  Year 2006 Publication (up) Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 288–299 Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ FLS2006 Serial 697  
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Author Marçal Rusiñol; Josep Llados edit  openurl
  Title Symbol Spotting in Technical Drawings Using Vectorial Signatures Type Book Chapter
  Year 2006 Publication (up) Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 35–46 Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ RuL2006a Serial 719  
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Author Philippe Dosch; Ernest Valveny edit  openurl
  Title Report on the Second Symbol Recognition Contest Type Book Chapter
  Year 2006 Publication (up) Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 381–397 Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ DoV2006 Serial 691  
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Author Mathieu Nicolas Delalandre; Jean-Marc Ogier; Josep Llados edit  openurl
  Title A Fast Cbir System of Old Ornamental Letter Type Book Chapter
  Year 2008 Publication (up) Graphics Reognition: Recent Advances and New Opportunities Abbreviated Journal  
  Volume 5046 Issue Pages 135–144  
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  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor W. Liu, J. Llados, J.M. Ogier  
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  Series Editor Series Title Abbreviated Series Title LNCS  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ DOL2008 Serial 987  
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Author Josep Llados; Marçal Rusiñol edit  doi
isbn  openurl
  Title Graphics Recognition Techniques Type Book Chapter
  Year 2014 Publication (up) Handbook of Document Image Processing and Recognition Abbreviated Journal  
  Volume D Issue Pages 489-521  
  Keywords Dimension recognition; Graphics recognition; Graphic-rich documents; Polygonal approximation; Raster-to-vector conversion; Texture-based primitive extraction; Text-graphics separation  
  Abstract This chapter describes the most relevant approaches for the analysis of graphical documents. The graphics recognition pipeline can be splitted into three tasks. The low level or lexical task extracts the basic units composing the document. The syntactic level is focused on the structure, i.e., how graphical entities are constructed, and involves the location and classification of the symbols present in the document. The third level is a functional or semantic level, i.e., it models what the graphical symbols do and what they mean in the context where they appear. This chapter covers the lexical level, while the next two chapters are devoted to the syntactic and semantic level, respectively. The main problems reviewed in this chapter are raster-to-vector conversion (vectorization algorithms) and the separation of text and graphics components. The research and industrial communities have provided standard methods achieving reasonable performance levels. Hence, graphics recognition techniques can be considered to be in a mature state from a scientific point of view. Additionally this chapter provides insights on some related problems, namely, the extraction and recognition of dimensions in engineering drawings, and the recognition of hatched and tiled patterns. Both problems are usually associated, even integrated, in the vectorization process.  
  Address  
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  Publisher Springer London Place of Publication Editor D. Doermann; K. Tombre  
  Language Summary Language Original Title  
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  Series Volume Series Issue Edition  
  ISSN ISBN 978-0-85729-858-4 Medium  
  Area Expedition Conference  
  Notes DAG; 600.077 Approved no  
  Call Number Admin @ si @ LlR2014 Serial 2380  
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Author Salvatore Tabbone; Oriol Ramos Terrades edit  doi
isbn  openurl
  Title An Overview of Symbol Recognition Type Book Chapter
  Year 2014 Publication (up) Handbook of Document Image Processing and Recognition Abbreviated Journal  
  Volume D Issue Pages 523-551  
  Keywords Pattern recognition; Shape descriptors; Structural descriptors; Symbolrecognition; Symbol spotting  
  Abstract According to the Cambridge Dictionaries Online, a symbol is a sign, shape, or object that is used to represent something else. Symbol recognition is a subfield of general pattern recognition problems that focuses on identifying, detecting, and recognizing symbols in technical drawings, maps, or miscellaneous documents such as logos and musical scores. This chapter aims at providing the reader an overview of the different existing ways of describing and recognizing symbols and how the field has evolved to attain a certain degree of maturity.  
  Address  
  Corporate Author Thesis  
  Publisher Springer London Place of Publication Editor D. Doermann; K. Tombre  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-0-85729-858-4 Medium  
  Area Expedition Conference  
  Notes DAG; 600.077 Approved no  
  Call Number Admin @ si @ TaT2014 Serial 2489  
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