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 Publication | Proceedings of the International Conference on Document Analysis and Recognition, ICDAR |
Volume | 2 |
Pages | 645-648 |
Abstract | This 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%. |
URL | View the original |
Language | 英語English |
Fulltext Access | |
Document Type | Conference paper |
Collection | University of Macau |
Affiliation | Chongqing 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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