Neural Network Based Over-Segmentation for Scene Text Recognition
文献类型：会议论文
| 作者 | He X(贺欣) ; Wu YC(吴一超); Chen K(陈凯); Yin F(殷飞); Liu CL(刘成林); He X(贺欣)
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| 出版日期 | 2015 |
| 会议日期 | 2015-11 |
| 会议地点 | 吉隆坡 |
| 关键词 | 场景文字识别 过切分 |
| 英文摘要 |
Over-segmentation is often used in text recognition to generate candidate characters. In this paper, we propose a neural network-based over-segmentation method for cropped scene text recognition. On binarized text line image, a segmentation window slides over each connected component, and a neural network is used to classify whether the window locates a segmentation point or not. We evaluate several feature representations for window classification and combine sliding window-based segmentation with shape-based splitting. Experimentalresults on two benchmark datasets demonstrate the superiority and effectiveness of our method in respect of segmentation point detection and word recognition. |
| 会议录 | Asian Conference on Pattern Recognition
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| 源URL | [http://ir.ia.ac.cn/handle/173211/11764]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_模式分析与学习团队 |
| 通讯作者 | He X(贺欣) |
| 作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | He X,Wu YC,Chen K,et al. Neural Network Based Over-Segmentation for Scene Text Recognition[C]. 见:. 吉隆坡. 2015-11. |
入库方式： OAI收割
来源：自动化研究所
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