UM
Status已發表Published
On-line recognition of handwritten mathematical symbols
Xuejun Zhao; Xinyu Liu; Shengling Zheng; Baochang Pan; Tang Yuan Y.
1997
Source PublicationProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume2
Pages645-648
AbstractThis paper aims at on-line 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%.
URLView the original
Language英語English
Fulltext Access
Document TypeConference paper
CollectionUniversity of Macau
AffiliationChongqing University
Recommended Citation
GB/T 7714
Xuejun Zhao,Xinyu Liu,Shengling Zheng,et al. On-line recognition of handwritten mathematical symbols[C], 1997, 645-648.
APA Xuejun Zhao., Xinyu Liu., Shengling Zheng., Baochang Pan., & Tang Yuan Y. (1997). On-line recognition of handwritten mathematical symbols. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, 2, 645-648.
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