Evaluation and Recognition of Handwritten Chinese Characters Based on Similarities

doi:10.3390/app12178521

	Evaluation and Recognition of Handwritten Chinese Characters Based on Similarities
	Zhao, Yuliang 1,2; Zhang, Xinyue 1,2; Fu, Boya 3; Zhan, Zhikun 1,2; Sun, Hui 4; Li, Lianjiang 1,2; Zhang, Guanglie 5
发表期刊	APPLIED SCIENCES-BASEL
	2022-09-01
卷号	12 期号:17 页码:20
关键词	handwritten Chinese characters evaluation and recognition neural network similarities
DOI	10.3390/app12178521
通讯作者	Fu, Boya(18830491838@163.com) ; Zhang, Guanglie(guanglie.zhang@gmail.com)
英文摘要	To accurately recognize ordinary handwritten Chinese characters, it is necessary to recognize the normative level of these characters. This study proposes methods to quantitatively evaluate and recognize these characters based on their similarities. Three different types of similarities, including correlation coefficient, pixel coincidence degree, and cosine similarity, are calculated between handwritten and printed Song typeface Chinese characters. Eight features are derived from the similarities and used to verify the evaluation performance and an artificial neural network is used to recognize the character content. The results demonstrate that our proposed methods deliver satisfactory evaluation effectiveness and recognition accuracy (up to 98%-100%). This indicates that it is possible to improve the accuracy in recognition of ordinary handwritten Chinese characters by evaluating the normative level of these characters and standardizing writing actions in advance. Our study can offer some enlightenment for developing methods for the identification of handwritten Chinese characters used in transaction processing activities.
资助机构	National Natural Science Foundation of China ; Hebei Natural Science Foundation ; Fundamental Research Funds for the Central Universities ; Shenzhen Science and Technology Innovation Commission (SZSTI) ; Administration of Central Funds Guiding the Local Science and Technology Development
收录类别	SCI
语种	英语
关键词[WOS]	PATTERN-RECOGNITION
研究领域[WOS]	Chemistry ; Engineering ; Materials Science ; Physics
WOS记录号	WOS:000850981300001
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/31677
专题	中国科学院烟台海岸带研究所知识产出
通讯作者	Fu, Boya; Zhang, Guanglie
作者单位	1.Northeastern Univ, Sensor & Big Data Lab, Qinhuangdao 066000, Hebei, Peoples R China 2.Lab Micronano Precis Opt Sensing & Measurement Te, Qinhuangdao 066000, Hebei, Peoples R China 3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China 4.City Univ Hong Kong, Dept Mech Engn, Hong Kong, Peoples R China 5.City Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518057, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Yuliang,Zhang, Xinyue,Fu, Boya,et al. Evaluation and Recognition of Handwritten Chinese Characters Based on Similarities[J]. APPLIED SCIENCES-BASEL,2022,12(17):20.
APA	Zhao, Yuliang.,Zhang, Xinyue.,Fu, Boya.,Zhan, Zhikun.,Sun, Hui.,...&Zhang, Guanglie.(2022).Evaluation and Recognition of Handwritten Chinese Characters Based on Similarities.APPLIED SCIENCES-BASEL,12(17),20.
MLA	Zhao, Yuliang,et al."Evaluation and Recognition of Handwritten Chinese Characters Based on Similarities".APPLIED SCIENCES-BASEL 12.17(2022):20.