Uyghur Text Matching in Graphic Images for Biomedical Semantic Analysis
Fang, Shancheng; Xie, Hongtao; Chen, Zhineng; Liu, Yizhi; Li, Yan
刊名NEUROINFORMATICS
2018-10-01
卷号16期号:3-4页码:445-455
关键词Uyghur Text Detection Text Recognition Text Extracting
DOI10.1007/s12021-017-9350-0
文献子类Article
英文摘要How to read Uyghur text from biomedical graphic images is a challenge problem due to the complex layout and cursive writing of Uyghur. In this paper, we propose a system that extracts text from Uyghur biomedical images, and matches the text in a specific lexicon for semantic analysis. The proposed system possesses following distinctive properties: first, it is an integrated system which firstly detects and crops the Uyghur text lines using a single fully convolutional neural network, and then keywords in the lexicon are matched by a well-designed matching network. Second, to train the matching network effectively an online sampling method is applied, which generates synthetic data continually. Finally, we propose a GPU acceleration scheme for matching network to match a complete Uyghur text line directly rather than a single window. Experimental results on benchmark dataset show our method achieves a good performance of F-measure 74.5%. Besides, our system keeps high efficiency with 0.5s running time for each image due to the GPU acceleration scheme.
WOS关键词MANY-CORE PROCESSORS ; PARALLEL FRAMEWORK ; HEVC
WOS研究方向Computer Science ; Neurosciences & Neurology
语种英语
WOS记录号WOS:000441590600016
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/40779]  
专题数字内容技术与服务研究中心_听觉模型与认知计算
推荐引用方式
GB/T 7714
Fang, Shancheng,Xie, Hongtao,Chen, Zhineng,et al. Uyghur Text Matching in Graphic Images for Biomedical Semantic Analysis[J]. NEUROINFORMATICS,2018,16(3-4):445-455.
APA Fang, Shancheng,Xie, Hongtao,Chen, Zhineng,Liu, Yizhi,&Li, Yan.(2018).Uyghur Text Matching in Graphic Images for Biomedical Semantic Analysis.NEUROINFORMATICS,16(3-4),445-455.
MLA Fang, Shancheng,et al."Uyghur Text Matching in Graphic Images for Biomedical Semantic Analysis".NEUROINFORMATICS 16.3-4(2018):445-455.
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