Graphics Recognition. Ten Years Review and Future Perspectives

1. Front Matter

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2. Engineering Drawings Vectorization and Recognition

   1. Vectorization and Parity Errors

      • Alexander Gribov, Eugene Bodansky

      Pages 1-10

   2. A Vectorization System for Architecture Engineering Drawings

      • Feng Su, Jiqiang Song, Shijie Cai

      Pages 11-22

3. Symbol Recognition

   1. Musings on Symbol Recognition

      • Karl Tombre, Salvatore Tabbone, Philippe Dosch

      Pages 23-34

   2. Symbol Spotting in Technical Drawings Using Vectorial Signatures

      • Marçal Rusiñol, Josep Lladós

      Pages 35-46

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

      • Stéphanie Guillas, Karell Bertet, Jean-Marc Ogier

      Pages 47-60

   4. An Extended System for Labeling Graphical Documents Using Statistical Language Models

      • Andrew O’Sullivan, Laura Keyes, Adam Winstanley

      Pages 61-75

   5. Symbol Recognition Combining Vectorial and Statistical Features

      • Hervé Locteau, Sébastien Adam, Éric Trupin, Jacques Labiche, Pierre Héroux

      Pages 76-87

4. Graphic Image Analysis

   1. Segmentation and Retrieval of Ancient Graphic Documents

      • Surapong Uttama, Pierre Loonis, Mathieu Delalandre, Jean-Marc Ogier

      Pages 88-98

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

      • Yan Heping, Zhiyan Wang, Sen Guo

      Pages 99-107

   3. Region-Based Pattern Generation Scheme for DMD Based Maskless Lithography

      • Manseung Seo, Jaesung Song, Changgeun An

      Pages 108-119

   4. Global Discrimination of Graphic Styles

      • Rudolf Pareti, Nicole Vincent

      Pages 120-130

   5. Recognition for Ocular Fundus Based on Shape of Blood Vessel

      • Zhiwen Xu, Xiaoxin Guo, Xiaoying Hu, Xu Chen, Zhengxuan Wang

      Pages 131-139

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

      • Jing Zhang, Wan Zhang, Liu Wenyin

      Pages 140-150

5. Structural Document Analysis

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

      • Young-Bin Kwon

      Pages 151-161

   2. Crosscheck of Passport Information for Personal Identification

      • Tae Jong Kim, Young Bin Kwon

      Pages 162-172

   3. String Extraction Based on Statistical Analysis Method in Color Space

      • Yan Heping, Zhiyan Wang, Sen Guo

      Pages 173-181

   4. Interactive System for Origami Creation

      • Takashi Terashima, Hiroshi Shimanuki, Jien Kato, Toyohide Watanabe

      Pages 182-194

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

      • Eugen Barbu, Pierre Héroux, Sébastien Adam, Éric Trupin

      Pages 195-205

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

      • Isaac Martinat, Bertrand Coüasnon

      Pages 206-217

This book contains refereed and improved papers presented at the 6th IAPR Workshop on Graphics Recognition (GREC 2005). This year is the tenth anniversary of GREC, which was started in 1995 and has been held every 2 years: GREC 1995 in Penn State University, USA (LNCS Volume 1072, Springer, 1996); GREC 1997 in Nancy, France (LNCS Volume 1389, Springer, 1998); GREC 1999 in Jaipur, India (LNCS Volume 1941, Springer, 2000); GREC 2001 in Kingston, Canada (LNCS Volume 2390, Springer, 2002); and GREC 2003 in Barcelona, Spain (LNCS Volume 3088, Springer, 2004). GREC is the main event of IAPR TC-10 (the Technical Committee on Graphics Recognition within the International Association for Pattern Recognition) and provides an excellent opportunity for researchers and practitioners at all levels of experience to meet colleagues and to share new ideas and knowledge about graphics recognition methods. Graphics recognition is a particular field in the domain of document analysis, which combines pattern recognition and image processing techniques for the analysis of any kind of graphical information in documents from either paper or electronic formats. In its 10 year history, the graphics recognition community has extended its research topics from the analysis and understanding of graphic documents (including engineering drawings vectorization and recognition), to graphics-based information retrieval and symbol recognition, to new media analysis, and even stepped into research areas of other communities, e. g.

• Alignment
• algorithms
• biometric recognition
• calculus
• cartographic map analysis
• character recognition
• classification
• cognition
• content analysis
• diagram analysis
• document analysis
• graphics analysis
• graphics recognition
• programming
• symbol recognition

• Department of Computer Science, City University of Hong Kong, Hong Kong, China

  Wenyin Liu

• Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra (Barcelona), Spain

  Josep Lladós

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