Graphics Recognition. Recent Advances and New Opportunities: 7th International Workshop, GREC 2007, Curitiba, Brazil, September 20-21, 2007, Selected Papers(5046 Lecture Notes in Computer Science)

This book contains refereed and improved papers presented at the Seventh IAPR Workshop on Graphics Recognition (GREC2007), held in Curitiba, Brazil, September 20-21, 2007. The GREC workshops provide 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 subfield of document image analysis that deals with graphical entities in engineering drawings, sketches, maps, architectural plans, musical scores, mathematical notation, tables, diagrams, etc. GREC2007 continued the tradition of past workshops held at Penn State University, USA (GREC 1995, LNCS Volume 1072, Springer, 1996); Nancy, France (GREC 1997, LNCS Volume 1389, Springer, 1998); Jaipur, India (GREC 1999, LNCS Volume 1941, Springer, 2000); Kingston, Canada (GREC 2001, LNCS Volume 2390, Springer, 2002); Barcelona, Spain (GREC 2003, LNCS Volume 3088, Springer, 2004); and Hong Kong, China (GREC 2005, LNCS Volume 3926, Springer, 2006). GREC2007 was also the first edition of a GREC workshop held at the same location of the ICDAR conference and it facilitated people to attend to both events. The program of GREC2007 was organized in a single-track 2-day workshop. It comprised several sessions dedicated to specific topics.

Table of Contents:
Technical Documents, Maps and Diagrams Understanding.- Automatically Making Origami Diagrams.- An Adaptative Recognition System Using a Table Description Language for Hierarchical Table Structures in Archival Documents.- Converting ECG and Other Paper Legated Biomedical Maps into Digital Signals.- Symbol and Shape Description and Recognition (1).- Hand Drawn Symbol Recognition by Blurred Shape Model Descriptor and a Multiclass Classifier.- On the Combination of Ridgelets Descriptors for Symbol Recognition.- Symbol and Shape Description and Recognition (2).- Old Handwritten Musical Symbol Classification by a Dynamic Time Warping Based Method.- On the Joint Use of a Structural Signature and a Galois Lattice Classifier for Symbol Recognition.- A Discriminative Representation for Symbolic Image Similarity Evaluation.- ARG Based on Arcs and Segments to Improve the Symbol Recognition by Genetic Algorithm.- Information Retrieval, Indexing and Spotting.- Spotting Symbols in Line Drawing Images Using Graph Representations.- A Region-Based Hashing Approach for Symbol Spotting in Technical Documents.- A System for Historic Document Image Indexing and Retrieval Based on XML Database Conforming to MPEG7 Standard.- An Ancient Graphic Documents Indexing Method Based on Spatial Similarity.- A Fast CBIR System of Old Ornamental Letter.- Sketching Interfaces and On-Line Processing.- Developing Domain-Specific Gesture Recognizers for Smart Diagram Environments.- Using Error Recovery Techniques to Improve Sketch Recognition Accuracy.- Representing and Parsing Sketched Symbols Using Adjacency Grammars and a Grid-Directed Parser.- Categorization of Digital Ink Elements Using Spectral Features.- Feature and Primitive Analysis and Segmentation.- A Figure Image Processing System.- A Segmentation Scheme Based on a Multi-graph Representation: Application to Colour Cadastral Maps.- Smoothing a Network of Planar Polygonal Lines Obtained with Vectorization.- Verification of the Document Components from Dual Extraction of MRTD Information.- A System to Segment Text and Symbols from Color Maps.- A Non-symmetrical Method of Image Local-Difference Comparison for Ancient Impressions Dating.- Performance Evaluation and Ground Truthing.- Generating Ground Truthed Dataset of Chart Images: Automatic or Semi-automatic?.- Performance Characterization of Shape Descriptors for Symbol Representation.- Building Synthetic Graphical Documents for Performance Evaluation.- A Study on the Effects of Noise Level, Cleaning Method, and Vectorization Software on the Quality of Vector Data.- GREC 2007 Arc Segmentation Contest: Evaluation of Four Participating Algorithms.- Report on the Third Contest on Symbol Recognition.- Panel Discussion.- Is Graphics Recognition an Unidentified Scientific Object?.