@InProceedings{AliciaFornes2010,
author="Alicia Fornes
and Sergio Escalera
and Josep Llados
and Ernest Valveny",
title="Symbol Classification using Dynamic Aligned Shape Descriptor",
booktitle="20th International Conference on Pattern Recognition",
year="2010",
pages="1957--1960",
abstract="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.",
optnote="DAG; HUPBA; MILAB",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1421), last updated on Thu, 18 Jan 2018 11:43:27 +0100",
isbn="978-1-4244-7542-1",
issn="1051-4651",
doi="10.1109/ICPR.2010.482",
opturl="http://www.icpr2010.org/ICPR10_ContentListWeb_2.html"
}