| Uyghur Text Matching in Graphic Images for Biomedical Semantic Analysis | |
| Fang, Shancheng1,2; Xie, Hongtao3; Chen, Zhineng4; Liu, Yizhi5; Li, Yan6 | |
| Source Publication | NEUROINFORMATICS
 |
| 2018-10-01 | |
| Volume | 16Issue:3-4Pages:445-455 |
| Subtype | Article |
| Abstract | 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. |
| Keyword | Uyghur Text Detection Text Recognition Text Extracting |
| WOS Headings | Science & Technology ; Technology ; Life Sciences & Biomedicine |
| DOI | 10.1007/s12021-017-9350-0 |
| WOS Keyword | MANY-CORE PROCESSORS ; PARALLEL FRAMEWORK ; HEVC |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | National Nature Science Foundation of China(61771468 ; Youth Innovation Promotion Association Chinese Academy of Sciences(2017209) ; 61772526) |
| WOS Research Area | Computer Science ; Neurosciences & Neurology |
| WOS Subject | Computer Science, Interdisciplinary Applications ; Neurosciences |
| WOS ID | WOS:000441590600016 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/21845 |
| Collection | 数字内容技术与服务研究中心_听觉模型与认知计算 |
| Affiliation | 1.Chinese Acad Sci, Inst Informat Engn, Natl Engn Lab Informat Secur Technol, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Cyber Secur, Beijing, Peoples R China 3.Univ Sci & Technol China, Sch Informat Sci & Technol, Hefei, Anhui, Peoples R China 4.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 5.Hunan Univ Sci & Technol, Sch Comp Sci & Engn, Xiangtan, Peoples R China 6.Beijing Kuaishou Technol Co Ltd, Beijing, Peoples R China |
| Recommended Citation 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. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment