| Scene text recognition by learning co-occurrence of strokes based on spatiality embedded dictionary | |
Gao, Song; Wang, Chunheng ; Xiao, Baihua; Shi, Cunzhao; Zhou, Wen; Zhang, Zhong
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| Source Publication | IET COMPUTER VISION
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| 2015-02-01 | |
| Volume | 9Issue:1Pages:138-148 |
| Subtype | Article |
| Abstract | Text information contained in scene images is very helpful for high-level image understanding. In this study, the authors propose to learn co-occurrence of local strokes for scene text recognition by using a spatiality embedded dictionary (SED). Unlike spatial pyramid partitioning images into grids to incorporate spatial information, the authors SED associates every codeword with a particular response region and introduces more precise spatial information for robust character recognition. After localised soft coding and max pooling of the first layer, a sparse dictionary is learned to model co-occurrence of several local strokes, which further improves classification performance. Experimental results on two scene character recognition datasets ICDAR2003 and CHARS74 K demonstrate that their character recognition method outperforms state-of-the-art methods. Besides, competitive word recognition results are also reported for four benchmark word recognition datasets ICDAR2003, ICDAR2011, ICDAR2013 and street view text when combining their character recognition method with a conditional random field language model. |
| Keyword | Character Recognition Dictionaries Text Detection Scene Text Recognition High-level Image Understanding Text Information Scene Images Local Strokes Spatiality Embedded Dictionary Sed Robust Character Recognition Localised Soft Coding Max Pooling Sparse Dictionary Chars74 k Dataset Icdar2003 Dataset |
| WOS Headings | Science & Technology ; Technology |
| Indexed By | SCI |
| Language | 英语 |
| WOS Research Area | Computer Science ; Engineering |
| WOS Subject | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| WOS ID | WOS:000349308600012 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/8050 |
| 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 |
| Affiliation | Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China |
| Recommended Citation GB/T 7714 | Gao, Song,Wang, Chunheng,Xiao, Baihua,et al. Scene text recognition by learning co-occurrence of strokes based on spatiality embedded dictionary[J]. IET COMPUTER VISION,2015,9(1):138-148. |
| APA | Gao, Song,Wang, Chunheng,Xiao, Baihua,Shi, Cunzhao,Zhou, Wen,&Zhang, Zhong.(2015).Scene text recognition by learning co-occurrence of strokes based on spatiality embedded dictionary.IET COMPUTER VISION,9(1),138-148. |
| MLA | Gao, Song,et al."Scene text recognition by learning co-occurrence of strokes based on spatiality embedded dictionary".IET COMPUTER VISION 9.1(2015):138-148. |
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| File Name/Size | DocType | Version | Access | License | ||
| Scene text recogniti（794KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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