%0 Conference Proceedings
%T Symbol Classification using Dynamic Aligned Shape Descriptor
%A Alicia Fornes
%A Sergio Escalera
%A Josep Llados
%A Ernest Valveny
%B 20th International Conference on Pattern Recognition
%D 2010
%@ 1051-4651
%@ 978-1-4244-7542-1
%F Alicia Fornes2010
%O DAG; HUPBA; MILAB
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1421), last updated on Thu, 18 Jan 2018 11:43:27 +0100
%X 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.
%U http://www.icpr2010.org/ICPR10_ContentListWeb_2.html
%U http://dx.doi.org/10.1109/ICPR.2010.482
%P 1957–1960