Detecting Uyghur text in complex background images with convolutional neural network

doi:10.1007/s11042-017-4538-8

CORC > 自动化研究所 > 中国科学院自动化研究所 > 数字内容技术与服务研究中心 > 听觉模型与认知计算

	Detecting Uyghur text in complex background images with convolutional neural network
	Fang, Shancheng 1,2; Xie, Hongtao 1,2; Chen, Zhineng3 ; Zhu, Shiai 4; Gu, Xiaoyan 1,2; Gao, Xingyu 5
刊名	MULTIMEDIA TOOLS AND APPLICATIONS
	2017-07-01
卷号	76 期号:13 页码:15083-15103
关键词	Uyghur Text Detection Text Localization Convolutional Neural Network
DOI	10.1007/s11042-017-4538-8
文献子类	Article
英文摘要	Uyghur text detection is crucial to a variety of real-world applications, while little researches put their attention on it. In this paper, we develop an effective and efficient region-based convolutional neural network for Uyghur text detection in complex background images. The characteristics of the network include: (1) Three region proposal networks are used to improve the recall, which simultaneously utilize feature maps from different convolutional layers. (2) The overall architecture of our network is in the form of fully convolutional network, and global average pooling is applied to replace the fully connected layers in the classification and bounding box regression layers. (3) To fully utilize the baseline information, Uyghur text lines are detected directly by the network in an end-to-end fashion. Experiment results on benchmark dataset show that our method achieves an F-measure of 0.83 and detection time of 0.6 s for each image in a single K20c GPU, which is much faster than the state-of-the-art methods while keeps competitive accuracy.
WOS关键词	NATURAL IMAGES ; LINE DETECTION ; LOCALIZATION ; RECOGNITION
WOS研究方向	Computer Science ; Engineering
语种	英语
WOS记录号	WOS:000403039400030
资助机构	National Nature Science Foundation of China(61303171 ; "trategic Priority Research Program" of the Chinese Academy of Sciences(XDA06031000) ; 61303175)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/15247]
专题	数字内容技术与服务研究中心_听觉模型与认知计算
作者单位	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.Chinese Acad Sci, Inst Automat, Interact Digital Media Technol Res Ctr, Beijing, Peoples R China 4.Univ Ottawa, Ottawa, ON, Canada 5.Chinese Acad Sci, Inst Software, Lab Parallel Software & Computat Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Fang, Shancheng,Xie, Hongtao,Chen, Zhineng,et al. Detecting Uyghur text in complex background images with convolutional neural network[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2017,76(13):15083-15103.
APA	Fang, Shancheng,Xie, Hongtao,Chen, Zhineng,Zhu, Shiai,Gu, Xiaoyan,&Gao, Xingyu.(2017).Detecting Uyghur text in complex background images with convolutional neural network.MULTIMEDIA TOOLS AND APPLICATIONS,76(13),15083-15103.
MLA	Fang, Shancheng,et al."Detecting Uyghur text in complex background images with convolutional neural network".MULTIMEDIA TOOLS AND APPLICATIONS 76.13(2017):15083-15103.