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	Structure context clues for Chinese text detection
	Lin, Li ; Qu, Yanyun ; Liao, Weimin ; Qu YY(曲延云)
	2014
关键词	Computer applications Computer programming
英文摘要	Conference Name:6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014. Conference Address: Xiamen, China. Time:July 10, 2014 - July 12, 2014.; National Natural Foundation of China; SIGMM China Chapter; Xiamen University; In this paper, we focus on Chinese text detection in a natural scene image. Different from the existing methods which usually rely on complicated features or heavy learning models, our method introduces simple structure features and context groups which are very effective for Chinese text detection. Specifically, we firstly extract connected components by using the Maximally Stable Extremal Region algorithm (MSER) in multiple channels of color space and the candidate regions are generated by combining the extraction results. Secondly, we design some simple structure features which are special for Chinese characters to filter non-text candidate regions. Some detached parts of a character are merged to form a whole character in this stage. Finally, we propose the structure context clues. Making use of the context difference between text and non-text, we further to filter the non-text regions by a context-based group filter and a Supported Vector Machine (SVM) classifier trained with Histogram of Oriented Gradients (HOG) features. Furthermore, we build our Chinese Character Street View (CCSV) dataset, on which our approach is implemented. And the experimental results demonstrate the availability of our method. Copyright 2014 ACM.
语种	英语
出处	http://dx.doi.org/10.1145/2632856.2632925
出版者	Association for Computing Machinery
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86856]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Lin, Li,Qu, Yanyun,Liao, Weimin,et al. Structure context clues for Chinese text detection. 2014-01-01.

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