Self-information of radicals: A new clue for zero-shot Chinese character recognition

doi:10.1016/j.patcog.2023.109598

	Self-information of radicals: A new clue for zero-shot Chinese character recognition
	Luo, Guo-Feng 1,2; Wang, Da-Han 1,2; Du, Xia 1,2; Yin, Hua-Yi 1,2; Zhang, Xu-Yao3,4 ; Zhu, Shunzhi 1,2
发表期刊	PATTERN RECOGNITION
ISSN	0031-3203
	2023-08-01
卷号	140 页码:12
通讯作者	Wang, Da-Han(wangdh@xmut.edu.cn)
摘要	Zero-shot Chinese character recognition (ZSCCR) is an important research topic in Chinese character recognition as it attempts to recognize unseen Chinese characters. As basic components and mid-level representations, radicals are significant for ZSCCR. However, previous methods treat the importance of radicals equally, ignoring the different contributions of radicals in distinguishing characters. In this pa-per, we propose the self-information of radicals (SIR) to measure the importance of radicals in recog-nizing Chinese characters. The proposed SIR can be easily adopted by two commonly used radical-based ZSCCR frameworks, i.e., sequence matching based and attribute embedding based. For sequence matching based ZSCCR, we propose a novel Chinese character uncertainty elimination (CUE) framework to allevi-ate the radical sequence mismatch problem. For attribute embedding based ZSCCR, we propose a novel radical information embedding (RIE) method that can highlight the importance of indispensable radi-cals and weaken the influence of some unnecessary radicals. We conducted comprehensive experiments on the CASIA-HWDB, ICDAR2013, CTW datasets, and AHCDB datasets to evaluate the proposed method. Experiments show that our proposed methods can achieve superior performance to the state-of-the-art methods, which demonstrate the effectiveness and the high extensibility of the proposed SIR.(c) 2023 Elsevier Ltd. All rights reserved.
关键词	Chinese character recognition Zero-shot learning Self-information of radicals Character uncertainty elimination Radical information embedding
DOI	10.1016/j.patcog.2023.109598
关键词[WOS]	STROKE EXTRACTION ; NETWORK
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61773325] ; National Natural Science Foundation of China[62222609] ; National Natural Science Foundation of China[62076236] ; Industry-University Cooperation Project of Fujian Science and Technology Department[2021H6035] ; Science and Technology Planning Project of Fujian Province[2021J011182] ; Science and Technology Planning Project of Fujian Province[2020H0023] ; Science and Technology Planning Project of Fujian Province[2020Y9064]
项目资助者	National Natural Science Foundation of China ; Industry-University Cooperation Project of Fujian Science and Technology Department ; Science and Technology Planning Project of Fujian Province
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000987191000001
出版者	ELSEVIER SCI LTD
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/53291
专题	多模态人工智能系统全国重点实验室
通讯作者	Wang, Da-Han
作者单位	1.Xiamen Univ Technol, Sch Comp & Informat Engineenng, Xiamen, Peoples R China 2.Fujian Key Lab Pattern Recognit & Image Understand, Xiamen, Peoples R China 3.Chinese Acad Sci, Natl Lab Pattern Recognit NLPR, Inst Automat, Beijing, Peoples R China 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Luo, Guo-Feng,Wang, Da-Han,Du, Xia,et al. Self-information of radicals: A new clue for zero-shot Chinese character recognition[J]. PATTERN RECOGNITION,2023,140:12.
APA	Luo, Guo-Feng,Wang, Da-Han,Du, Xia,Yin, Hua-Yi,Zhang, Xu-Yao,&Zhu, Shunzhi.(2023).Self-information of radicals: A new clue for zero-shot Chinese character recognition.PATTERN RECOGNITION,140,12.
MLA	Luo, Guo-Feng,et al."Self-information of radicals: A new clue for zero-shot Chinese character recognition".PATTERN RECOGNITION 140(2023):12.