Robust Scene Text Detection Based on Color Consistency | |
Yang, Zheng1; Heping,Liu1; Jie, Liu2; Qing, Li1; Gen, Li2 | |
2016 | |
会议名称 | 8th International Conference on Digital Image Processing (ICDIP) |
会议日期 | MAY 20-23, 2016 |
会议地点 | Chengdu, PEOPLES R CHINA |
摘要 | The whole process of text detection in scene images always contain three steps: character candidate detection, false character candidate removal, words extraction. However some errors appear in each step and influence the performance of text detection. According to the disadvantages of each step, we propose the compensation methods to solve these problems. Firstly, a filter based on color of stroke named Stroke Color Transform is used to ensure the integrality of characters and remove some false character candidates. Secondly, a classifier is trained based on gradient features is adopted to remove false character candidates. Thirdly, an extractor based on color of consecutive character named Character Color Transform is employed to extract undetected characters. The proposed technique is test on the two public datasets i.e. ICDAR2011 dataset, ICDAR2013 dataset, the experimental results show that our approach outperforms the state-of-the-art methods. |
关键词 | Text Detection Stroke Color Transform Gradient Feature Character Color Transform |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/26123 |
专题 | 数字内容技术与服务研究中心_版权智能与文化计算 |
作者单位 | 1.School of Automation and Electrical Engineering, University of Science and Technology Beijing 2.Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Yang, Zheng,Heping,Liu,Jie, Liu,et al. Robust Scene Text Detection Based on Color Consistency[C],2016. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Robust Scene Text De(547KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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