Character confidence based on N-best list for keyword spotting in online Chinese handwritten documents

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 模式分析与学习

	Character confidence based on N-best list for keyword spotting in online Chinese handwritten documents
	Zhang, Heng; Wang, Da-Han; Liu, Cheng-Lin
发表期刊	PATTERN RECOGNITION
	2014-05-01
卷号	47 期号:5 页码:1880-1890
文章类型	Article
摘要	In keyword spotting from handwritten documents by text query, the word similarity is usually computed by combining character similarities, which are desired to approximate the logarithm of the character probabilities. In this paper, we propose to directly estimate the posterior probability (also called confidence) of candidate characters based on the N-best paths from the candidate segmentation-recognition lattice. On evaluating the candidate segmentation-recognition paths by combining multiple contexts, the scores of the N-best paths are transformed to posterior probabilities using soft-max. The parameter of soft-max (confidence parameter) is estimated from the character confusion network, which is constructed by aligning different paths using a string matching algorithm. The posterior probability of a candidate character is the summation of the probabilities of the paths that pass through the candidate character. We compare the proposed posterior probability estimation method with some reference methods including the word confidence measure and the text line recognition method. Experimental results of keyword spotting on a large database CASIA-OLHWDB of unconstrained online Chinese handwriting demonstrate the effectiveness of the proposed method. (C) 2013 Elsevier Ltd. All rights reserved.
关键词	Online Chinese Handwritten Documents Keyword Spotting Posterior Probability N-best List Confidence Measure Confusion Network
WOS标题词	Science & Technology ; Technology
关键词[WOS]	CONTINUOUS SPEECH RECOGNITION ; NETWORKS ; SEGMENTATION ; CONSENSUS ; STRATEGY
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000331667400009
引用统计	被引频次：5[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/173211/3084
专题	多模态人工智能系统全国重点实验室_模式分析与学习
作者单位	Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Zhang, Heng,Wang, Da-Han,Liu, Cheng-Lin. Character confidence based on N-best list for keyword spotting in online Chinese handwritten documents[J]. PATTERN RECOGNITION,2014,47(5):1880-1890.
APA	Zhang, Heng,Wang, Da-Han,&Liu, Cheng-Lin.(2014).Character confidence based on N-best list for keyword spotting in online Chinese handwritten documents.PATTERN RECOGNITION,47(5),1880-1890.
MLA	Zhang, Heng,et al."Character confidence based on N-best list for keyword spotting in online Chinese handwritten documents".PATTERN RECOGNITION 47.5(2014):1880-1890.

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