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Consecutive Convolutional Activations for Scene Character Recognition

文献类型：期刊论文

作者Zhang, Zhong1; Wang, Hong1; Liu, Shuang1; Xiao, Baihua2
刊名IEEE ACCESS
出版日期2018
卷号6页码:35734-35742
关键词Consecutive Convolutional Activations Convolutional Neural Network Scene Character Recognition
DOI10.1109/ACCESS.2018.2848930
文献子类Article
英文摘要Driven by the rapid growth of communication technologies and the wide applications of intelligent mobile terminals, the scene character recognition has become a significant yet very challenging task in people's lives. In this paper, we design a novel feature representation scheme termed consecutive convolutional activations (CCA) for character recognition in natural scenes. The proposed CCA could integrate both the low-level and the high-level patterns into the global decision by learning character representations from several successive convolutional layers. Concretely, one shallow convolutional layer is first selected for extracting the convolutional activation features, and then, the next consecutive deep convolutional layers are utilized to learn weight matrices for these convolutional activation features. Finally, the Fisher vectors are employed to encode the CCA features so as to obtain the image-level representations. Extensive experiments are conducted on two English scene character databases (ICDAR2003 and Chars74K) and one Chinese scene character database ("Pan+ChiPhoto"), and the experimental data indicate that the proposed method achieves a superior performance than the previous algorithms.
WOS关键词TEXT RECOGNITION ; REPRESENTATION ; RETRIEVAL ; SPEECH
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000439022000042
资助机构National Natural Science Foundation of China(61501327 ; Natural Science Foundation of Tianjin(17JCZDJC30600 ; Fund of Tianjin Normal University(135202RC1703) ; Open Projects Program of National Laboratory of Pattern Recognition(201700001 ; China Scholarship Council(201708120039 ; Tianjin Higher Education Creative Team Funds Program ; 61711530240) ; 15JCQNJC01700) ; 201800002) ; 201708120040)
源URL[http://ir.ia.ac.cn/handle/173211/21848]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_影像分析与机器视觉团队
作者单位1.Tianjin Normal Univ, Tianjin Key Lab Wireless Mobile Communicat & Powe, Tianjin 300387, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Zhong,Wang, Hong,Liu, Shuang,et al. Consecutive Convolutional Activations for Scene Character Recognition[J]. IEEE ACCESS,2018,6:35734-35742.
APA Zhang, Zhong,Wang, Hong,Liu, Shuang,&Xiao, Baihua.(2018).Consecutive Convolutional Activations for Scene Character Recognition.IEEE ACCESS,6,35734-35742.
MLA Zhang, Zhong,et al."Consecutive Convolutional Activations for Scene Character Recognition".IEEE ACCESS 6(2018):35734-35742.

入库方式： OAI收割

来源：自动化研究所

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