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《Journal of Jilin University(Information Science Edition)》 2017-03
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Text Localization Algorithm Based on Visual Saliency and Edge Density

ZHANG Peng;CUI Rongyi;Intelligent Information Processing Laboratory,Department of Computer Science & Technology,Yanbian University;  
In order to solve the problem of low precision in traditional text localization algorithm,a robust text localization method based on visual saliency and edge density is proposed from the perspective of natural scene text properties. Firstly,spectral residual theory is used to extract the saliency region of the image,then search for the regions of large edge density in the saliency regions and construct candidate connected regions,using a small amount of prior information to filter out non text area. The experimental results on the standard data set show that this method can obtain 70% comprehensive detection rate compared to the method of text region detection using edge feature.
【Fund】: 吉林省自然科学基金资助项目(20140101186JC);; 国家语委科研立项基金资助项目(YB125-178)
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 6 Hits
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【Co-citations】
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1 Zhao Shifeng;He Xijian;Institute of Artificial Intelligence & Simulation,Xi'an Technological University;College of Urban and Environmental Sciences,Northwest University;;Binarization method for images acquired under complex environment based on OpenCV[J];电子测量技术;2018-06
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3 LIU Keping;LI Xiwei;LI Yan;YU Weibo;College of Electrical and Electronic Engineering,Changchun University of Technology;;SIFT Image Matching Algorithm Based on Edge Information[J];吉林大学学报(信息科学版);2018-02
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6 CHEN Xiao;SHEN Hongjian;LI Fei;WANG Xi;WEN Changji;College of Information and Technology,Jilin Agricultural University;Department of Science-Technology Publication,Jilin Agricultural University;;Salient Text Detection Method Based on Spectral Residual and Stroke Width Transform[J];吉林大学学报(理学版);2017-06
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