CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

A Survey on Text Localization Method in Natural Scene Image

by Pooja B. Chavre, Archana Ghotkar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 13
Year of Publication: 2015
Authors: Pooja B. Chavre, Archana Ghotkar
10.5120/19726-1373

Pooja B. Chavre, Archana Ghotkar . A Survey on Text Localization Method in Natural Scene Image. International Journal of Computer Applications. 112, 13 ( February 2015), 15-19. DOI=10.5120/19726-1373

@article{ 10.5120/19726-1373,
author = { Pooja B. Chavre, Archana Ghotkar },
title = { A Survey on Text Localization Method in Natural Scene Image },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 13 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number13/19726-1373/ },
doi = { 10.5120/19726-1373 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:49:22.857570+05:30
%A Pooja B. Chavre
%A Archana Ghotkar
%T A Survey on Text Localization Method in Natural Scene Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 13
%P 15-19
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Text information in natural scene images serves as important clues for many computer vision applications such as content-based image retrieval, tourist translator, and assistive navigation. Extraction of such information from natural scene images, involves number of sub stages represented by text information extraction (TIE) system. However, performance of such system is greatly influenced by text localization module. Lots of work has been reported in this field, but it still remained as a challenging problem, due to two main issues: different variety of text patterns like sizes, fonts, orientations, colors, and presence of background outliers similar to text characters, such as windows, bricks. The purpose of this paper is to study and surveyed existing text localization method and challenges for the same.

References
  1. H. K. Kim, "Efficient automatic text location method and content-based indexing and structuring of video database," J. Visual Commun. Image Representation 7 (4),1996, pp. 336–344.
  2. B. Epshtein, E. Ofek, and Y. Wexler. "Detecting text in natural scenes with stroke width transform," CVPR 2010, pp. 2963-2970.
  3. C. P. Sumathi,T. Santhanam and G. Gayathri Devi "A survey on various approaches of text extraction in images," International journal of computer science & Enginnering Survey, Vol. 3,No. 4,August 2012.
  4. K. Jung, "Text information extraction in images and video: A survey," Pattern Recognition. , vol. 37, no. 5,May 2004, pp. 977–997.
  5. Y. K. Lim, S. H. Choi, S. W. Lee, "Text extraction in MPEG compressed video for content-based indexing," Proceedings of International Conference on Pattern Recognition, 2000, pp. 409–412.
  6. Y. Zhong, H. Zhang, A. K. Jain, "Automatic caption localization in compressed video," IEEE Trans. Pattern Anal. Mach. Intell. 22 (4),2000, pp. 385–392.
  7. S. Antani, U. Gargi, D. Crandall, T. Gandhi, R. Kasturi, "Extraction of text in video", Technical Report, Department of Computer Science and Engineering, Pennsylvania State University, CSE-99-016, August 30, 1999.
  8. Y. M. Y. Hasan, L. J. Karam, "Morphological text extraction from images," IEEE Trans. Image Process. 9 (11),2000, pp. 1978–1983.
  9. K. Subramanian, P. Natarajan, M. Decerbo, D. Castañòn, "Character-Stroke Detection for Text-Localization and Extraction," International Conference on Document Analysis and Recognition (ICDAR), 2005.
  10. A. Srivastav , J. Kumar, "Text detection in scene images using stroke width and nearest-neighbor constraints," in TENCON 2008 - IEEE Region 10 Conference,2000, pp. 1–5.
  11. C. Yi and Y. Tian, "Text string detection from natural scenes by structure-based partition and grouping," IEEE Trans. ImageProcess. , vol. 20, no. 9, Sep 2011,pp. 2594–2605.
  12. H. Chen, S. Tsai, G. Schroth, D. Chen, R. Grzeszczuk, and B. Girod, "Robust text detection in natural images with edge-enhanced maximally stable extremal regions," in Proc. IEEE Int. Conf. Image Process. , Sep 2011 pp. 2609–2612.
  13. Quan Meng, Yonghong Song, Yuanlin Zhang, Yang Liu "Text Detection in natural scene with edge analysis" IEEE 2013.
  14. Xiaobing Wang, Yonghong Song, Yuanlin Zhang: "Natural Scene Text Detection with Multi-channel Connectet Componen Segmentation". ICDAR 2013: 1375-1379.
  15. H. Koo and D. H, Kim, "Scene Text Detection via Connected Component Clustering and Nontext Filtering", IEEE transaction on Image processing, VOL. 22, NO. 6, JUNE 2013.
  16. Xu-Cheng Yin, Xuwang Yin, Kaizhu Huang, and Hong-Wei Hao "Robust Text Detection in Natural Scene Images" IEEE TRANSACTIONS on Pattern Analysis and Machine Intelligence,VOL. 36, NO. 5, MAY 2014.
  17. K. Jung, "Neural network-based text location in color images, Pattern Recognition," Lett. 22 (14), 2001, pp. 1503–1515.
  18. S. A. Angadi , M. M. Kodabagi(2009) , "A Texture Based Methodology For Text Region Extraction From Low Resolution Natural Scene Images," International Journal Of Image Processing (Ijip),Volume(3), Issue(5).
  19. V. Wu, R. Manmatha, E. M. Riseman, "TextFinder: an automatic system to detect and recognize text in images", IEEE Trans. Pattern Anal. Mach. Intell. 21 (11), 1999,pp. -1224–1229.
  20. V. Wu, R. Manmatha, E. R. Riseman, "Finding text in images", Proceedings of ACM International Conference on Digital Libraries, Philadelphia, 1997, pp. 1–10.
  21. H. Li, D. Doerman, O. Kia, "Automatic text detection and tracking in digital video", IEEE Trans. Image Process. 9 (1),2000,pp. 147–156.
  22. W. Mao, F. Chung, K. Lanm, W. Siu, "Hybrid Chinese/English text detection in images and video frames", Proceedings of International Conference on Pattern Recognition, Vol. 3,Quebec, Canada,2000, pp. 1015–1018.
  23. Y. -F. Pan, X. Hou, and C. -L. Liu, "A hybrid approach to detect and localize texts in natural scene images," IEEE Trans. Image Process. , Mar. 2011, vol. 20, no. 3.
  24. Kim S, Kim D, Ryu Y, Kim G " A robust license plate extraction method under complex image conditions". In Proc. ICPR 2002, pp 216–219.
  25. S. S. Tsai, D. Chen, V. Chandrasekhar, G. Takacs, N. M. Cheung, R. Vedantham, R. Grzeszczuk, and B. Girod, "Mobile product recognition," in Proc. ACM Multimedia 2010, 2010.
  26. D. Chen, S. S. Tsai, C. H. Hsu, K. Kim, J. P. Singh, and B. Girod, "Building book inventories using smartphones," in Proc. ACM Multimedia, 2010.
  27. G. Takacs, Y. Xiong, R. Grzeszczuk, V. Chandrasekhar, W. Chen, L. Pulli, N. Gelfand, T. Bismpigiannis, and B. Girod, "Outdoors augmented reality on mobile phone using loxel-based visual feature organization," in Proc. ACM Multimedia Information Retrieval, pp. 427–434,2008.
  28. Derek Ma, Qiuhau Lin, Tong Zhang ?"Mobile Camera Based Text Detection and Translation? "Stanford University ,Nov 2000.
  29. NitinMishra,CPatvardhan,"ATMA: Android Travel Mate" Application?, International Journal of Computer Applications (0975 –8887) vol 50 – No. 16, July 2012.
  30. Adrian Canedo and Jung H. Kim" English to Spanish Translation of Signboard Images from Mobile Phone Camera" SOUTHEASTCON 2009 IEEE.
Index Terms

Computer Science
Information Sciences

Keywords

Scene text detection Scene text localization Scene text extraction Connected component (CC)-based approach CC clustering.

Powered by PhDFocusTM