Graphics Recognition: Algorithms and Systems

An introduction to vectorization and segmentation.- Genericity in graphics recognition algorithms.- Directional decomposition of line-drawing images based on regulated morphological operations.- Improved directional morphological operations for separation of characters from maps/graphics.- A coarse vectorisation as an initial representation for the understanding of line drawing images.- Euclidean paths for representing and transforming scanned characters.- Graphic symbol recognition: An overview.- A constraint network for symbol detection in architectural drawings.- A string based method to recognize symbols and structural textures in architectural plans.- Logo recognition by recursive neural networks.- Methods for Korean business forms processing.- Information extraction from a skewed form document in the presence of crossing characters.- Robust reconstruction of damaged character images on the form documents.- Layout-based approach for extracting constructive elements of bar-charts.- Topographic maps automatic interpretation : Some proposed strategies.- Automatic interpretation of scanned maps: Reconstruction of Contour Lines.- Automatic interpretation of scanned topographic maps: A raster-based approach.- Segmentation of thematic maps using colour and spatial attributes.- Information fusion for conflict resolution in map interpretation.- Map analysis for guided interpretation of aerial images.- Analysis of engineering drawings: State of the art and challenges.- A systematic approach towards reconstructing 3D curved models from multiple 2D views.- Error correction in scanned engineering drawings using 3-D knowledge-based reconstruction.- Graphics recognition for a large-scale airplane information system.- A Prototype for adaptive association of street names with streets on maps.- A practical application of graphics recognition: Helping with the extraction of information from telephone company drawings.- Time-based segmentation of artistic drawings.- Design and performance in object recognition.- Simulating graphics for performance analysis purposes by combining real world background and synthetic foreground data.- A proposed scheme for performance evaluation of graphics/text separation algorithms.- A performance evaluation protocol for graphics recognition systems.- The Second International Graphics Recognition Contest — Raster to vector conversion: A report.- General conclusions.