Mathematical Symbol Indexing

Authors:
Simone Marinai;Beatrice Miotti;Giovanni Soda
Affiliations:
Dipartimento di Sistemi e Informatica, University of Florence, Italy;Dipartimento di Sistemi e Informatica, University of Florence, Italy;Dipartimento di Sistemi e Informatica, University of Florence, Italy
Venue:
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Year:
2009

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Abstract

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. Indexed symbols are represented with a vector space-based method that is grounded on SC clustering. We explore the use of the Self Organizing Map (SOM) to perform the clustering and we compare several approaches to compute the SCs. The retrieval performance are measured on a large collection of mathematical symbols gathered from the widely used INFTY database.