PT Unknown
AU Alicia Fornes
   Sergio Escalera
   Josep Llados
   Ernest Valveny
TI Symbol Classification using Dynamic Aligned Shape Descriptor
BT 20th International Conference on Pattern Recognition
PY 2010
BP 1957–1960
DI 10.1109/ICPR.2010.482
AB 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.
ER