Consecutive Convolutional Activations for Scene Character Recognition
Zhang, Zhong1; Wang, Hong1; Liu, Shuang1; Xiao, Baihua2
Source PublicationIEEE ACCESS
2018
Volume6Pages:35734-35742
SubtypeArticle
AbstractDriven 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.
KeywordConsecutive Convolutional Activations Convolutional Neural Network Scene Character Recognition
WOS HeadingsScience & Technology ; Technology
DOI10.1109/ACCESS.2018.2848930
WOS KeywordTEXT RECOGNITION ; REPRESENTATION ; RETRIEVAL ; SPEECH
Indexed BySCI
Language英语
Funding OrganizationNational 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 Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000439022000042
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21848
Collection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
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, Zhong]'s Articles
[Wang, Hong]'s Articles
[Liu, Shuang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, Zhong]'s Articles
[Wang, Hong]'s Articles
[Liu, Shuang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, Zhong]'s Articles
[Wang, Hong]'s Articles
[Liu, Shuang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.