Graphics Recognition: Achievements, Challenges, and Evolution

1. Front Matter

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2. Use of Perceptive Vision for Ruling Recognition in Ancient Documents

   • Aurélie Lemaitre, Bertrand Coüasnon, Jean Camillerapp

   Pages 1-11

3. Fuzzy Intervals for Designing Structural Signature: An Application to Graphic Symbol Recognition

   • Muhammad Muzzamil Luqman, Mathieu Delalandre, Thierry Brouard, Jean-Yves Ramel, Josep Lladós

   Pages 12-24

4. Interactive Conversion of Web Tables

   • Raghav Krishna Padmanabhan, Ramana Chakradhar Jandhyala, Mukkai Krishnamoorthy, George Nagy, Sharad Seth, William Silversmith

   Pages 25-36

5. Comparing Graph Similarity Measures for Graphical Recognition

   • Salim Jouili, Salvatore Tabbone, Ernest Valveny

   Pages 37-48

6. Robust and Precise Circular Arc Detection

   • Bart Lamiroy, Yassine Guebbas

   Pages 49-60

7. Automatic Palette Identification of Colored Graphics

   • Vinciane Lacroix

   Pages 61-68

8. Detection of Circular Arcs in a Digital Image Using Chord and Sagitta Properties

   • Sahadev Bera, Partha Bhowmick, Bhargab B. Bhattacharya

   Pages 69-80

9. GOAL: Towards Understanding of Graphic Objects from Architectural to Line Drawings

   • Shyamosree Pal, Partha Bhowmick, Arindam Biswas, Bhargab B. Bhattacharya

   Pages 81-92

10. Extracting Road Vector Data from Raster Maps

    • Yao-Yi Chiang, Craig A. Knoblock

    Pages 93-105

11. Human Perception in Segmentation of Sketches

    • Pedro Company, Peter A. C. Varley, Ana Piquer, Margarita Vergara, Jaime Sánchez-Rubio

    Pages 106-117

12. SSP: Sketching Slide Presentations, a Syntactic Approach

    • Joan Mas, Gemma Sanchez, Josep Lladós

    Pages 118-129

13. QuickDiagram: A System for Online Sketching and Understanding of Diagrams

    • Liu Wenyin, Xiangfei Kong, Yiming Wang, Chester Wan, Cheuk-Yin Ho, Tong Lu et al.

    Pages 130-141

14. Segmenting and Indexing Old Documents Using a Letter Extraction

    • Mickael Coustaty, Sloven Dubois, Jean-Marc Ogier, Michel Menard

    Pages 142-149

15. A New Minimum Trees-Based Approach for Shape Matching with Improved Time Computing: Application to Graphical Symbols Recognition

    • Patrick Franco, Jean-Marc Ogier, Pierre Loonis, Rémy Mullot

    Pages 150-162

16. Unified Pairwise Spatial Relations: An Application to Graphical Symbol Retrieval

    • K. C. Santosh, Laurent Wendling, Bart Lamiroy

    Pages 163-174

17. Real Scene Sign Recognition

    • Linlin Li, Chew Lim Tan

    Pages 175-186

18. Symbol Recognition Using a Concept Lattice of Graphical Patterns

    • Marçal Rusiñol, Karell Bertet, Jean-Marc Ogier, Josep Lladós

    Pages 187-198

19. Touching Text Character Localization in Graphical Documents Using SIFT

    • Partha Pratim Roy, Umapada Pal, Josep Lladós

    Pages 199-211

20. Graphical Drop Caps Indexing

    • Hassan Chouaib, Florence Cloppet, Nicole Vincent

    Pages 212-219

This book contains refereed and improved papers presented at the 8th IAPR Workshop on Graphics Recognition (GREC 2009), held in La Rochelle, France, July 22–23, 2009. The GREC workshops provide an excellent opportunity for researchersand practitionersat all levels of experience to meet colleaguesand to share new ideas and knowledge about graphics recognition methods. Graphics recognition is a sub?eld of document image analysis that deals with graphical entities in engineering drawings, sketches, maps, architectural plans, musical scores, mathematical notation, tables, diagrams, etc. GREC 2009 continued the tradition of past workshops held in the Penn State University, USA (GREC 1995, LNCS Volume 1072, Springer Verlag, 1996); Nancy, France (GREC 1997, LNCS Volume 1389, Springer Verlag, 1998); Jaipur, India (GREC 1999, LNCS Volume 1941, Springer Verlag, 2000); Kingston, Canada (GREC 2001, LNCS Volume 2390, Springer Verlag, 2002); Barcelona, Spain (GREC 2003, LNCS Volume 3088, Springer Verlag, 2004); Hong Kong, China (GREC 2005, LNCS Volume 3926, Springer Verlag, 2006); and (GREC 2007, LNCS Volume 5046, Springer Verlag, 2008). The programof GREC 2009 was organized in a single-track 2-day workshop. It comprised several sessions dedicated to speci?c topics. For each session, there was an invited presentation describing the state of the art and stating the open questions for the session’s topic, followed by a number of short presentations thatcontributedbyproposingsolutionstosomeofthequestionsorbypresenting results ofthe speaker’swork. Eachsessionwas then concludedby a paneldisc- sion.

• algorithms
• data mining
• feature extraction
• image mining
• information retrieval
• performance
• performance evaluation
• shape recognition

• Laboratoire d’Informatique, Image et Interactions, Université de La Rochelle, La Rochelle Cedex 1, France

  Jean-Marc Ogier

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

  Wenyin Liu

• Computer Science Department, Computer Vision Center, Edifici O Campus UAB, Bellaterra, Spain

  Josep Lladós

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