Mathematical Symbol Indexing

13 years 4 months ago
Mathematical Symbol Indexing
This paper addresses the indexing and retrieval of mathematical symbols from digitized documents. The proposed approach exploits Shape Contexts (SC) to describe the shape of mathematical symbols. Starting from the vector space method, that is based on SC clustering, we explore the use of topological ordered clusters to improve the retrieval performance. The clustering is computed by means of SelfOrganizing Maps that organize the clusters in two dimensional topologically ordered feature maps. The retrieval performance are compared with those obtained using the K-means clustering on a large collection of mathematical symbols gathered from the widely used INFTY database.
Simone Marinai, Beatrice Miotti, Giovanni Soda
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where AIIA
Authors Simone Marinai, Beatrice Miotti, Giovanni Soda
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