Multi-order co-occurrence activations encoded with Fisher Vector for scene character recognition
文献类型：期刊论文
| 作者 | Wang, Yanna1,2 ; Shi, Cunzhao1,2; Wang, Chunheng1,2; Xiao, Baihua1,2; Qi, Chengzuo1,2
|
| 刊名 | PATTERN RECOGNITION LETTERS
 |
| 出版日期 | 2017-10-01 |
| 卷号 | 97期号:2017页码:69-76 |
| 关键词 | Scene Character Recognition Multi-order Co-occurrence Activations Fisher Vector Cnn |
| DOI | 10.1016/j.patrec.2017.07.011 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| WOS关键词 | TEXT RECOGNITION ; ORIENTED GRADIENTS ; REPRESENTATION ; STROKELETS ; HISTOGRAM |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000411765800011 |
| 资助机构 | National Natural Science Foundation of China (NSFC)(61601462 ; 61531019 ; 71621002) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/19587]  |
| 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.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 |
| 推荐引用方式 GB/T 7714 | 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. |
入库方式： OAI收割
来源：自动化研究所
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