Scene text recognition by learning co-occurrence of strokes based on spatiality embedded dictionary | |
Gao, Song; Wang, Chunheng![]() ![]() ![]() | |
发表期刊 | IET COMPUTER VISION
![]() |
2015-02-01 | |
卷号 | 9期号:1页码:138-148 |
文章类型 | Article |
摘要 | 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. |
关键词 | 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标题词 | Science & Technology ; Technology |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000349308600012 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/8050 |
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 | Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China |
推荐引用方式 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. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Scene text recogniti(794KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论