Graphics Recognition. Ten Years Review and Future Perspectives

6th Internation Workshop, GREC 2005, Hong Kong, China, August 25-26, 2005, Revised Selected Papers

Editors:

ISBN: 978-3-540-34711-8 (Print) 978-3-540-34712-5 (Online)

Table of contents (38 chapters)

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  1. Front Matter

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  2. Engineering Drawings Vectorization and Recognition

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      Pages 1-10

      Vectorization and Parity Errors

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      Pages 11-22

      A Vectorization System for Architecture Engineering Drawings

  3. Symbol Recognition

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      Pages 23-34

      Musings on Symbol Recognition

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      Pages 35-46

      Symbol Spotting in Technical Drawings Using Vectorial Signatures

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      Pages 47-60

      A Generic Description of the Concept Lattices’ Classifier: Application to Symbol Recognition

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      Pages 61-75

      An Extended System for Labeling Graphical Documents Using Statistical Language Models

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      Pages 76-87

      Symbol Recognition Combining Vectorial and Statistical Features

  4. Graphic Image Analysis

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      Pages 88-98

      Segmentation and Retrieval of Ancient Graphic Documents

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      Pages 99-107

      A Method for 2D Bar Code Recognition by Using Rectangle Features to Allocate Vertexes

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      Pages 108-119

      Region-Based Pattern Generation Scheme for DMD Based Maskless Lithography

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      Pages 120-130

      Global Discrimination of Graphic Styles

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      Pages 131-139

      Recognition for Ocular Fundus Based on Shape of Blood Vessel

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      Pages 140-150

      Adaptive Noise Reduction for Engineering Drawings Based on Primitives and Noise Assessment

  5. Structural Document Analysis

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      Pages 151-161

      Extraction of Index Components Based on Contents Analysis of Journal’s Scanned Cover Page

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      Pages 162-172

      Crosscheck of Passport Information for Personal Identification

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      Pages 173-181

      String Extraction Based on Statistical Analysis Method in Color Space

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      Pages 182-194

      Interactive System for Origami Creation

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      Pages 195-205

      Using Bags of Symbols for Automatic Indexing of Graphical Document Image Databases

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      Pages 206-217

      A Minimal and Sufficient Way of Introducing External Knowledge for Table Recognition in Archival Documents

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      Pages 218-230

      Database-Driven Mathematical Character Recognition

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