%0 Conference Proceedings
%T A Deformable HOG-based Shape Descriptor
%A Jon Almazan
%A Alicia Fornes
%A Ernest Valveny
%B 12th International Conference on Document Analysis and Recognition
%D 2013
%@ 1520-5363
%F Jon Almazan2013
%O DAG
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2326), last updated on Thu, 10 Nov 2016 12:10:05 +0100
%X 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
%U http://refbase.cvc.uab.es/files/AFV2013.pdf
%U http://dx.doi.org/10.1109/ICDAR.2013.205
%P 1022-1026