Consecutive Convolutional Activations for Scene Character Recognition
Zhang, Zhong1; Wang, Hong1; Liu, Shuang1; Xiao, Baihua2
2018
发表期刊IEEE ACCESS
卷号6页码:35734-35742
文章类型Article
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.
关键词Consecutive Convolutional Activations Convolutional Neural Network Scene Character Recognition
WOS标题词Science & Technology ; Technology
DOI10.1109/ACCESS.2018.2848930
关键词[WOS]TEXT RECOGNITION ; REPRESENTATION ; RETRIEVAL ; SPEECH
收录类别SCI
语种英语
项目资助者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)
WOS研究方向Computer Science ; Engineering ; Telecommunications
WOS类目Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号WOS:000439022000042
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21848
专题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
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
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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.
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