Graphics Recognition. Recent Advances and New Opportunities: 7th International Workshop, GREC 2007, Curitiba, Brazil, September 20-21, 2007, Selected [Paperback]

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.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 Joinl37