UM
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
全文获取链接
Document TypeConference paper
专题University of Macau
AffiliationChongqing University
推荐引用方式
GB/T 7714
Xuejun Zhao,Xinyu Liu,Shengling Zheng,et al. On-line recognition of handwritten mathematical symbols[C],1997:645-648.
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
Google Scholar
中相似的文章 Google Scholar
[Xuejun Zhao]的文章
[Xinyu Liu]的文章
[Shengling Zheng]的文章
Baidu academic
中相似的文章 Baidu academic
[Xuejun Zhao]的文章
[Xinyu Liu]的文章
[Shengling Zheng]的文章
Bing Scholar
中相似的文章 Bing Scholar
[Xuejun Zhao]的文章
[Xinyu Liu]的文章
[Shengling Zheng]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。