A Character Flow Framework for Multi-Oriented Scene Text Detection
A Character Flow Framework for Multi-Oriented Scene Text Detection
复制标题
一种面向多方向场景文本检测的字符流框架
DOI:
10.1007/s11390-021-1362-4
复制
发表时间:
2021-05
影响因子:
0.7
通讯作者:
Shu Liu
中科院分区:
文献类型:
--
作者:
Wen-Jun Yang;Bei-Ji Zou;Kai-Wen Li;Shu Liu
Scene text detection plays a significant role in various applications, such as object recognition, document management, and visual navigation. The instance segmentation based method has been mostly used in existing research due to its advantages in dealing with multi-oriented texts. However, a large number of non-text pixels exist in the labels during the model training, leading to text mis-segmentation. In this paper, we propose a novel multi-oriented scene text detection framework, which includes two main modules: character instance segmentation (one instance corresponds to one character), and character flow construction (one character flow corresponds to one word). We use feature pyramid network (FPN) to predict character and non-character instances with arbitrary directions. A joint network of FPN and bidirectional long short-term memory (BLSTM) is developed to explore the context information among isolated characters, which are finally grouped into character flows. Extensive experiments are conducted on ICDAR2013, ICDAR2015, MSRA-TD500 and MLT datasets to demonstrate the effectiveness of our approach. The F-measures are 92.62%, 88.02%, 83.69% and 77.81%, respectively.
登录
查看更多内容
DOI:
10.1109/cvpr.2016.451
发表时间:
2016-04
期刊:
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
影响因子:
--
作者:
Zheng Zhang;Chengquan Zhang;Wei Shen;C. Yao;Wenyu Liu-;X. Bai
通讯作者:
Zheng Zhang;Chengquan Zhang;Wei Shen;C. Yao;Wenyu Liu-;X. Bai
DOI:
10.1109/tpami.2016.2646371
发表时间:
2017-11-01
影响因子:
23.6
作者:
Shi, Baoguang;Bai, Xiang;Yao, Cong
通讯作者:
Yao, Cong
DOI:
10.1007/978-3-030-01270-0_22
发表时间:
2018-07
期刊:
ArXiv
影响因子:
--
作者:
Chuhui Xue;Shijian Lu;Fangneng Zhan
通讯作者:
Chuhui Xue;Shijian Lu;Fangneng Zhan
影响因子:
6
作者:
Gers, FA;Schraudolph, NN;Schmidhuber, J
通讯作者:
Schmidhuber, J
DOI:
10.1109/tpami.2013.182
发表时间:
2013-01
影响因子:
23.6
作者:
通讯作者:
--