PT Unknown
AU Jon Almazan
   Alicia Fornes
   Ernest Valveny
TI A Deformable HOG-based Shape Descriptor
BT 12th International Conference on Document Analysis and Recognition
PY 2013
BP 1022
EP 1026
DI 10.1109/ICDAR.2013.205
AB In this paper we deal with the problem of recognizing handwritten shapes. We present a new deformable feature extraction method that adapts to the shape to be described, dealing in this way with the variability introduced in the handwriting domain. It consists in a selection of the regions that best define the shape to be described, followed by the computation of histograms of oriented gradients-based features over these points. Our results significantly outperform other descriptors in the literature for the task of hand-drawn shape recognition and handwritten word retrieval
ER