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Proceedings Paper

Online handwritten mathematical expression recognition
Author(s): Hakan Büyükbayrak; Berrin Yanikoglu; Aytül Erçil
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Paper 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.

Paper Details

Date Published: 29 January 2007
PDF: 7 pages
Proc. SPIE 6500, Document Recognition and Retrieval XIV, 65000F (29 January 2007); doi: 10.1117/12.704043
Show Author Affiliations
Hakan Büyükbayrak, Sabanci Univ. (Turkey)
Berrin Yanikoglu, Sabanci Univ. (Turkey)
Aytül Erçil, Sabanci Univ. (Turkey)


Published in SPIE Proceedings Vol. 6500:
Document Recognition and Retrieval XIV
Xiaofan Lin; Berrin A. Yanikoglu, Editor(s)

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