Multi-order co-occurrence activations encoded with Fisher Vector for scene character recognition
Wang, Yanna1,2; Shi, Cunzhao1,2; Wang, Chunheng1,2; Xiao, Baihua1,2; Qi, Chengzuo1,2
2017-10-01
发表期刊PATTERN RECOGNITION LETTERS
卷号97期号:2017页码:69-76
文章类型Article
摘要Scene character recognition remains a challenging task due to many interference factors. Considering that characters are composed of a series of parts arranged in certain structures, in this paper, we propose a novel representation termed multi-order co-occurrence activations (MCA) encoded with Fisher Vector (FV), namely MCA-FV. It implicitly models the co-occurrence information of discriminative character parts at different orders to boost the recognition performance. We first extract convolutional activations as local descriptors of character parts from convolutional neural networks (CNNs). Then, we introduce MCA features to capture the multi-order co-occurrence cues among different discriminative character parts. Finally, we apply FV to encode co-occurrence features of each order and obtain a global representation of MCA-FV. The proposed method is evaluated on four scene character datasets including English and Chinese datasets. Experiment results demonstrate the effectiveness of the proposed method for scene character recognition. (C) 2017 Elsevier B.V. All rights reserved.
关键词Scene Character Recognition Multi-order Co-occurrence Activations Fisher Vector Cnn
WOS标题词Science & Technology ; Technology
DOI10.1016/j.patrec.2017.07.011
关键词[WOS]TEXT RECOGNITION ; ORIENTED GRADIENTS ; REPRESENTATION ; STROKELETS ; HISTOGRAM
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China (NSFC)(61601462 ; 61531019 ; 71621002)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000411765800011
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/19587
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.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
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Wang, Yanna,Shi, Cunzhao,Wang, Chunheng,et al. Multi-order co-occurrence activations encoded with Fisher Vector for scene character recognition[J]. PATTERN RECOGNITION LETTERS,2017,97(2017):69-76.
APA Wang, Yanna,Shi, Cunzhao,Wang, Chunheng,Xiao, Baihua,&Qi, Chengzuo.(2017).Multi-order co-occurrence activations encoded with Fisher Vector for scene character recognition.PATTERN RECOGNITION LETTERS,97(2017),69-76.
MLA Wang, Yanna,et al."Multi-order co-occurrence activations encoded with Fisher Vector for scene character recognition".PATTERN RECOGNITION LETTERS 97.2017(2017):69-76.
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