Graphics Recognition. Recent Advances and New Opportunities

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