Real Time Handwriting Recognition Techniques for Mathematical Notation in Interactive Teaching & Learning Applications

Authors

  • A. Chiou School of Engineering & Technology, Central Queensland University, Rockhampton 4701 Queensland, Australia

Keywords:

intelligent computing, handwriting recognition, pattern mapping, internet

Abstract

This paper presents a selection of primary techniques used in the encoding of handwritten mathematical notation into a meta-string that can later be converted to a standard document markup language. This method is used to archive or deliver documents with handwritten mathematical notation via the Internet utilising platform independent devices. The techniques used include, encoding sequence that are unique for each symbol; and fuzzy membership functions to determine position, spacing and size of symbols.

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Published

2020-10-31

How to Cite

Chiou , A. . (2020). Real Time Handwriting Recognition Techniques for Mathematical Notation in Interactive Teaching & Learning Applications. Journal of Advanced Research in Applied Mechanics, 15(1), 20–26. Retrieved from https://akademiabaru.com/submit/index.php/aram/article/view/1743
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