Symbol Descriptor Based on Shape Context and Vector Model of Information Retrieval

In this paper we present an adaptive method for graphic symbol representation based on shape contexts. The proposed descriptor is invariant under classical geometric transforms (rotation, scale) and based on interest points. To reduce the complexity of matching a symbol to a large set of candidates we use the popular vector model for information retrieval. In this way, on the set of shape descriptors we build a visual vocabulary where each symbol is retrieved on visual words. Experimental results on complex and occluded symbols show that the approach is very promising.

• Type: Conference
• Year: 2008
• Where: DAS
• Authors: T.-O. Nguyen, Salvatore Tabbone, Oriol Ramos Terrades
• Keywords: Classical Geometric Transforms, DAS 2008, Document Analysis, Graphic Symbol Representation, Shape Contexts