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Reseach Article

A Survey of Text Reading from Scene Images

by Poonam B. Kadam, Latika R. Desai
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 17
Year of Publication: 2013
Authors: Poonam B. Kadam, Latika R. Desai
10.5120/10726-5678

Poonam B. Kadam, Latika R. Desai . A Survey of Text Reading from Scene Images. International Journal of Computer Applications. 64, 17 ( February 2013), 16-19. DOI=10.5120/10726-5678

@article{ 10.5120/10726-5678,
author = { Poonam B. Kadam, Latika R. Desai },
title = { A Survey of Text Reading from Scene Images },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 17 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 16-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number17/10726-5678/ },
doi = { 10.5120/10726-5678 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:16:42.612298+05:30
%A Poonam B. Kadam
%A Latika R. Desai
%T A Survey of Text Reading from Scene Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 17
%P 16-19
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Text reading in images or video is important step to achieve content retrieval from images. The content retrieve from image or video content useful information it act as clue for many image based applications such as scene understanding, content based image retrieval text based image indexing, industrial automation. Locating or detecting text from complex background is a challenging task due to variation in size, orientation, style. This paper describes the techniques which try to solving this problem.

References
  1. ICDAR 2003 robust reading competitions. In Proc. Intl. Conf. on Document Analysis and Recognition (2003), vol. 2, pp. 682–687.
  2. Lucas, Simon M. Text locating competition results. In Proc. Intl. Conf. on Document Analysis and Recogniton (2005), pp. 80–85.
  3. Qixiang Ye, Qingming Huang, Wen Gao and Debin Zhao, Fast and Robust text detection in images and video frames, Image and Vision Computing 23, 2005.
  4. Qixiang Ye, Wen Gao, Weiqiang Wang and Wei Zeng, A Robust Text Detection Algorithm in Images and Video Frames, IEEE, 2003.
  5. M. A. Smith, T. Kanade, Video skimming for quick browsing based on audio and image characterization, Technical Report CMU-CS-95-186, Carnegie Mellon University, July 1995.
  6. Y. Zhong, H. Zhang, A. K. Jain, Automatic caption localization in compressed video, IEEE Trans. Pattern Anal. Mach. Intell. 22 (4) (2000) 385–392.
  7. S. Antani, U. Gargi, D. Crandall, T. Gandhi, R. Kasturi, Extraction of text in video, Technical Report, Department of Computer Science andEngineering, Pennsylvania State University, CSE-99-016, August 30, 1999.
  8. Xiaoqing Liu and Jagath Samarabandu," An Edge-based text region extraction algorithm for Indoor mobile robot navigation", Proceedings of the IEEE, July 2005.
  9. Garcia, C. , and Apostolidis, X. "Text detection and segmentation in complex color images". In Proc. Intl. Conf. on Acoustics, Speech, and Signal Processing (June 2000)
  10. J. Park, G. Lee, E. Kim, J. Lim, S. Kim, H. Yang, M. Lee and S. Hwang, "Automatic detection and recognition of korean text in outdoor signboard images," Pattern Recognition Letters, vol. 31, no. 12, pp. 1728–1739, Sep. 2010.
  11. Y. M. Y. Hasan, L. J. Karam, "Morphological text extraction from images, IEEE Trans. Image Process. 9 (11) (2000) 1978–1983.
  12. E. Y. Kim, K. Jung, K. Y. Jeong, H. J. Kim, Automatic text region extraction using cluster-based templates, Proceedings of International Conference on Advances in Pattern Recognition and Digital Techniques, Calcutta, 1999.
  13. J. Ohya, A. Shio, S. Akamatsu, Recognizing characters in scene images, IEEE Trans. Pattern Anal. Mach. ntell. 16 (2)(1994) 214–224
  14. R. Jiang, F. Qi, L. Xu, and G. Wu, "A learning-based method to detec and segment text from scene images," J. Zhejiang Univ. , vol. 8, pp. 568–574, Apr. 2007.
  15. Aria Pezeshk and Richard L. Tutwiler. " Automatic Feature Extraction and Text Recognition From Scanned Topographic Maps", in 2011.
  16. Gao, Jiang, and Yang, Jie. An adaptive algorithm for text detection from naturalscenes. In Proceedings of the 2001 IEEE Conference on Computer Vision and Pattern Recognition (December 2001), vol. 2, pp. 84–89.
  17. Gao, Jiang, Yang, Jie, Zhang, Ying, andWaibel, Alex. Text detection and translation from natural scenes. Tech. Rep. CMU-CS-01-139, Carnegie Mellon University,School of Computer Science, 2001.
  18. C. Yi and Y. Tian, "Text string detection from natural scenes by structure-based partition and grouping," vol. 19, no. 12, 2011.
  19. Chen and A. L. Yuille, "Detecting and reading text in natural scenes," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , 2004, pp. 366-373.
  20. K. C. Jung, K. I. Kim, and A. K. Jain, "Text information extractionin images and video: A survey," Pattern Recognit. , vol. 5, pp. 977-997, May 2004.
  21. Datong Chen, Jean-Marc Odobez, Herve Bourlard "Text detection and recognition in images and video frames" Pattern Recognition, vol. 37, 2004, pp 595- 608.
Index Terms

Computer Science
Information Sciences

Keywords

Scene image text detection text localization text recognition