Robust Text Detection in Natural Scenes Using Text Geometry and Visual Appearance-Reference-Cited by-同舟云学术

Robust Text Detection in Natural Scenes Using Text Geometry and Visual Appearance

Published:2014-10 Issue:5 Volume:11 Page:480-488
ISSN:1476-8186
Container-title:International Journal of Automation and Computing
language:en
Short-container-title:Int. J. Autom. Comput.

Author:

Yan Sheng-Ye,Xu Xin-Xing,Liu Qing-Shan

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11633-014-0833-2.pdf

Reference35 articles.

1. G. Sahoo, T. Kumar, B. L. Raina, C. M. Bhatia. Text extraction and enhancement of binary images using cellular automata. International Journal of Automation and Computing, vol. 6, no. 3, pp. 254–260, 2009.

2. B. Epshtein, E. Ofek, Y. Wexler. Detecting text in natural scenes with stroke width transform. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, San Francisco, USA, pp. 2963–2970, 2010.

3. Lecture Notes in Corputer Science;L Neumann,2010

4. C. Yao, X. Bai, W. Liu, Y. Ma, Z. Tu. Detecting texts of arbitrary orientations in natural images. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, Providence, USA, pp. 1083–1090, 2012.

5. Y. C. Wei, C. H. Lin. A robust video text detection approach using SVM. Expert Systems with Applications, vol. 39, no. 12, pp. 10832–10840, 2012.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MFSR: Maximum feature score region-based captions locating in news video images;International Journal of Automation and Computing;2016-01-11