On-line recognition handwritten mathematical symbols

Xuejin Zhao, Xinyu Liu, Shengling Zheng, Baochang Pan, Yuan Y. Tang

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

The paper aims at online recognition of handwritten mathematical symbols. It analyses the structures of 94 opt used mathematical symbols and concludes that all of them consist of 10 basic elements. It proposes a new method of basic element ordering and reduces the number of standard symbols by extracting three primary features of mathematical symbols, namely, basic element vector, relative positions between basic elements and basic element length vector. The traditional dynamic programming method is improved by means of classifying roughly 94 mathematical symbols, considering matching and unmatching value, adding geometric restraints and solving matching problem, through improved Kohn-Munkres algorithm. Correctness rate reaches 90.52%, incorrectness rate 5.03% and refusal rate 4.45%.
Original languageEnglish
Title of host publicationProceedings of the Fourth International Conference on Document Analysis and Recognition
EditorsBob Werner
PublisherIEEE Canada
Pages645-648
Number of pages4
Volume2
ISBN (Print)0818678984
DOIs
Publication statusPublished - 18 Aug 1997
Externally publishedYes
Event4th International Conference on Document Analysis and Recognition, ICDAR 1997 - Ulm, Germany
Duration: 18 Aug 199720 Aug 1997
https://ieeexplore.ieee.org/xpl/conhome/4891/proceeding (Conference proceedings)

Conference

Conference4th International Conference on Document Analysis and Recognition, ICDAR 1997
Country/TerritoryGermany
CityUlm
Period18/08/9720/08/97
Internet address

User-Defined Keywords

  • Handwriting recognition
  • Joining processes
  • Keyboards
  • Pattern recognition
  • Writing
  • Feature extraction
  • Machine intelligence
  • Dynamic programming
  • Mathematics
  • Tail

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