Keyword spotting in handwritten chinese documents using semi-markov conditional random fields

doi:10.1016/j.engappai.2016.11.006

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 智能安全技术研究中心

	Keyword spotting in handwritten chinese documents using semi-markov conditional random fields
	Zhang, Heng 1; Zhou, Xiang-Dong2 ; Liu, Cheng-Lin 3
刊名	ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
	2017-02-01
卷号	58 页码:49-61
关键词	Online handwritten Chinese documents Semi-Markov conditional random fields Keyword spotting Proxy-character driven search
ISSN号	0952-1976
DOI	10.1016/j.engappai.2016.11.006
英文摘要	This paper proposes a document indexing method for keyword spotting based on semi-Markov conditional random fields (semi-CRFs), which provide a theoretical framework for fusing the information of different contexts. The candidate segmentation-recognition lattice is first augmented based on the linguistic context to improve recognition results. For fast retrieval and to save storage space, the lattice is then purged by a forward backward pruning procedure. In the reduced lattice, we estimate character similarity scores based on the semi-CRF model. The parameters of semi-CRF model are estimated using a binary classification objective, i.e., the cross-entropy (CE) to discriminate candidate characters in the lattice. To locate mis-recognized character instances in the lattice, we use confusing similar characters as proxies and search for proxy-characters in the index file. The proxy-character driven search can significantly improve the performance compared with our previous character-synchronous dynamic search (CSDS) method. Experimental results on the online handwriting database CASIA-OLHWDB justify the effectiveness of the proposed method.
资助项目	National Natural Science Foundation of China (NSFC)[61403385] ; National Natural Science Foundation of China (NSFC)[61273269]
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000392684200004
内容类型	期刊论文
源URL	[http://172.16.51.4:88/handle/2HOD01W0/261]
专题	智能安全技术研究中心
通讯作者	Zhang, Heng
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Intelligent Media Tech Res Ctr, Chongqing 400714, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Heng,Zhou, Xiang-Dong,Liu, Cheng-Lin. Keyword spotting in handwritten chinese documents using semi-markov conditional random fields[J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,2017,58:49-61.
APA	Zhang, Heng,Zhou, Xiang-Dong,&Liu, Cheng-Lin.(2017).Keyword spotting in handwritten chinese documents using semi-markov conditional random fields.ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,58,49-61.
MLA	Zhang, Heng,et al."Keyword spotting in handwritten chinese documents using semi-markov conditional random fields".ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 58(2017):49-61.