TY - CONF AU - Jon Almazan AU - Alicia Fornes AU - Ernest Valveny A2 - ICDAR PY - 2013// TI - A Deformable HOG-based Shape Descriptor BT - 12th International Conference on Document Analysis and Recognition SP - 1022 EP - 1026 N2 - 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 SN - 1520-5363 L1 - http://refbase.cvc.uab.es/files/AFV2013.pdf UR - http://dx.doi.org/10.1109/ICDAR.2013.205 N1 - DAG ID - Jon Almazan2013 ER -