Online handwritten mathematical expression recognition

Hakan Büyükbayrak; Berrin Yanikoglu; Aytül Erçil

doi:10.1117/12.704043

29 January 2007 Online handwritten mathematical expression recognition

Hakan Büyükbayrak, Berrin Yanikoglu, Aytül Erçil

Proceedings Volume 6500, Document Recognition and Retrieval XIV; 65000F (2007) https://doi.org/10.1117/12.704043
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

We describe a system for recognizing online, handwritten mathematical expressions. The system is designed with a user-interface for writing scientific articles, supporting the recognition of basic mathematical expressions as well as integrals, summations, matrices etc. A feed-forward neural network recognizes symbols which are assumed to be single-stroke and a recursive algorithm parses the expression by combining neural network output and the structure of the expression. Preliminary results show that writer-dependent recognition rates are very high (99.8%) while writer-independent symbol recognition rates are lower (75%). The interface associated with the proposed system integrates the built-in recognition capabilities of the Microsoft's Tablet PC API for recognizing textual input and supports conversion of hand-drawn figures into PNG format. This enables the user to enter text, mathematics and draw figures in a single interface. After recognition, all output is combined into one LATEX code and compiled into a PDF file.

Citation Download Citation

Hakan Büyükbayrak, Berrin Yanikoglu, and Aytül Erçil "Online handwritten mathematical expression recognition", Proc. SPIE 6500, Document Recognition and Retrieval XIV, 65000F (29 January 2007); https://doi.org/10.1117/12.704043

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