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Graphics Recognition. Recent Advances

Third International Workshop, GREC'99 Jaipur, India, September 26-27, 1999 Selected Papers

  • Conference proceedings
  • © 2000

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Editors:
  1. Atul K. Chhabra

    1. Verizon Communications, NY, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Dov Dori

    1. School of Engineering, Engineering Systems Division, Massachusetts Institute of Technology, Cambridge, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1941)

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Table of contents (31 papers)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Vectorization

    1. Stable and Robust Vectorization: How to Make the Right Choices

      • Karl Tombre, Christian Ah-Soon, Philippe Dosch, Gérald Masini, Salvatore Tabbone
      Pages 3-18

    2. A Really Useful Vectorization Algorithm

      • Dave Elliman
      Pages 19-27

    3. Processing of the Connected Shapes in Raster-to-Vector Conversion Process

      • Sébastien Adam, Rémy Mullot, Jean-Marc Ogier, Claude Cariou, Joël Gardes, Yves Lecourtier
      Pages 28-35

  3. Maps and Geographic Documents

    1. Recognition in Maps and Geographic Documents: Features and Approach

      • Toyohide Watanabe
      Pages 39-49

    2. Interpretation of Geographic Vector-Data in Practice

      • Jurgen den Hartog, Bernardus T. Holtrop, Marlies E. de Gunst, Ernst-Peter Oosterbroek
      Pages 50-57

    3. Compound Regulated Morphological Operations and Their Application to the Analysis of Line-Drawings

      • Gady Agam, Its’hak Dinstein
      Pages 58-68

    4. Detection of Black Point Houses on the Large Size Scanned Topographic Map

      • Young-Bin Kwon
      Pages 69-80

    5. Recognition of Connective Relationship among House Blocks from House Maps

      • Takamasa Shimasaki, Toyohid Watanab
      Pages 81-89

  4. Graphic Document Analysis

    1. A Tabular Survey of Automated Table Processing

      • Daniel Lopresti, George Nagy
      Pages 93-120

    2. Model-Based Graphics Recognition

      • Marc Vuilleumier Stückelberg, David Doermann
      Pages 121-132

    3. A Client-Server Architecture for Document Image Recognition

      • Atul K. K. Chhabra, Juan F. Arias, Theo Pavlidis, Phoebe X. Pan, Pedro V. Sanders
      Pages 133-142

    4. Multi-Dimensional Interval Algebra with Symmetry for Describing Block Layouts

      • Ankur Lahoti, Rohit Singh, Amitabha Mukerjee
      Pages 143-154

    5. Identification of Person Objects in Four-Scenes Comics of Japanese Newspapers

      • Tomoyuki Yamada, Toyohide Watanabe
      Pages 155-163

  5. Graphic Symbol and Shape Recognition

    1. Symbol and Shape Recognition

      • L. P. Cordella, M. Vento
      Pages 167-182

    2. Synthesis of Representative Graphical Symbols by Computing Generalized Median Graph

      • Xiaoyi Jiang, Andreas Münger, Horst Bunke
      Pages 183-192

    3. Deformable Template Matching within a Bayesian Framework for Hand-Written Graphic Symbol Recognition

      • Ernest Valveny, Enric Martí
      Pages 193-208

    4. A Symbol Classifier Able to Reject Wrong Shapes for Document Recognition Systems

      • Éric Anquetil, Bertrand Coüasnon, Frédéric Dambreville
      Pages 209-218

    5. A Robust Shape Decomposition Method

      • L. P. Cordella, C. De Stefano, M. Frucci
      Pages 219-227

    6. A Structural Representation Adapted to Handwritten Symbol Recognition

      • Jean-Yves Ramel, Guillaume Boissier, Hubert Emptoz
      Pages 228-237
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Keywords

About this book

This edited volume contains refereed and improved versions of select papers 1 that were presented at the third IAPR Workshop on Graphics Recognition (GREC’99), held at Rambagh Palace in Jaipur, India, 26–27, September 1999. The workshop was organized by the TC10 (Technical Committee on Graphics Recognition) of the IAPR. Edited volumes from the previous two workshops in this series are also available as Lecture Notes in Computer Science (volumes 1072 and 1389). Graphics recognition is the study of techniques for computer interpretation of images of line drawings and symbols. This includes methods such as vectori- tion, symbol recognition, and table and chart recognition for applications such as engineering drawings, schematics, logic drawings, maps, diagrams, and musical scores. Some recently developed techniques include graphics-based information or drawing retrieval and recognition of online graphical strokes. With the recent advances in the ?eld, there is now a need to develop benchmarks for evaluating and comparing algorithms and systems. Graphics recognition is a growing ?eld of interest in the broader document image recognition community. The GREC’99 workshop was attended by ?fty-?ve people from ?fteen co- tries. The workshop program consisted of six technical sessions. Each session began with a half-hour invited talk which was followed by several short talks. Each session closed with a half-hour panel discussion where the authors ?elded questions from the other participants. Several interesting new research directions were discussed at the workshop.

Editors and Affiliations

  • Verizon Communications, NY, USA

    Atul K. Chhabra

  • School of Engineering, Engineering Systems Division, Massachusetts Institute of Technology, Cambridge, USA

    Dov Dori

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