Symbol Classification Using Dynamic Aligned Shape Descriptor

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. Keywords-Graphics Recognition, Symbol Recognition, Symbol Description

• Type: Conference
• Year: 2010
• Where: ICPR
• Authors: Alicia Fornés, Sergio Escalera, Josep Llados, Ernest Valveny
• Keywords: Computer Vision, Graphical Document Image, ICPR 2010, Symbol Distortions, Symbol Recognition