Pattern Recognition, International Conference on (2010)
Aug. 23, 2010 to Aug. 26, 2010
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.482
Shape representation is a difficult task because of several symbol distortions, such as occlusions, elastic deformations, gaps or noise. In this paper, we propose a new descriptor and distance computation for coping with the problem of symbol recognition in the domain of Graphical Document Image Analysis. The proposed D-Shape descriptor encodes the arrangement information of object parts in a circular structure, allowing different levels of distortion. The classification is performed using a cyclic Dynamic Time Warping based method, allowing distortions and rotation. The methodology has been validated on different data sets, showing very high recognition rates.
Graphics Recognition, Symbol Recognition, Symbol Description
Sergio Escalera, Josep Lladós, Alicia Fornés, Ernest Valveny, "Symbol Classification Using Dynamic Aligned Shape Descriptor", Pattern Recognition, International Conference on, vol. 00, no. , pp. 1957-1960, 2010, doi:10.1109/ICPR.2010.482