We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Text Detection, Extraction and Removal: A Survey

Published on December 2014 by Priyankadeelipwagh, D. R. Patil
journal_cover_thumbnail

National Conference on Emerging Trends in Computer Technology
Foundation of Computer Science USA
NCETCT - Number 1
December 2014
Authors: Priyankadeelipwagh, D. R. Patil
2553e13b-c4ca-4703-8709-d7520520c7b1

Priyankadeelipwagh, D. R. Patil . Text Detection, Extraction and Removal: A Survey. National Conference on Emerging Trends in Computer Technology. NCETCT, 1 (December 2014), 19-23.

@article{
author = { Priyankadeelipwagh, D. R. Patil },
title = { Text Detection, Extraction and Removal: A Survey },
journal = { National Conference on Emerging Trends in Computer Technology },
issue_date = { December 2014 },
volume = { NCETCT },
number = { 1 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 19-23 },
numpages = 5,
url = { /proceedings/ncetct/number1/19080-4009/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Emerging Trends in Computer Technology
%A Priyankadeelipwagh
%A D. R. Patil
%T Text Detection, Extraction and Removal: A Survey
%J National Conference on Emerging Trends in Computer Technology
%@ 0975-8887
%V NCETCT
%N 1
%P 19-23
%D 2014
%I International Journal of Computer Applications
Abstract

Text in video and images is an extremely valuable feature to extract brief knowledge of video or image. But sometimes those text components feel unnecessary, and so various methods have been proposed till a day to detect, and remove the text out of video. This paper performs an extensive survey of various techniques available for text detection and removal from video and images automatically to create visually plausible output like videos/images without any of the embedded text.

References
  1. A. Mosleh, N. Boouguila, and A. B. Hamza, "An Automatic Inpainting Scheme for Video Text Detection and Removal," in IEEE Transactions on Image processing, vol. 22, no. 11, pp. 4460–4472, Nov. 2013.
  2. J. Gllavata, R. Ewerth, and B. Freisleben, "Text detection in images based on unsupervised classification of high-frequency wavelet coefficients," in Proc. of International Conference on Pattern Recognition (ICPR), vol. 1, Aug. 2004, pp. 425–428.
  3. T. Pratheeba, Dr. V. Kavitha, S. Raja Rajeswari, "Morphology Based Text Detection and Extraction from Complex Video Scene," in Internationl Journal of Engineering and Technology, Vol. 2(3), pp. 200-206, 2010.
  4. W. Kim and C. Kim, "A new approach for overlay text detection and extraction from complex video scene," IEEE Trans. Image Process. , vol. 18, no. 2, pp. 401 –411, feb. 2009.
  5. Keechul Jung, KwangIn Kim, Anil K. Jain, "Text information extraction in images and video: a survey", Pattern Recognition, Vol. 37, No. 5. (May 2004), pp. 977-997
  6. Yen-Lin Chen, "Automatic Text Extraction, Removal and Inpaiting of Complex Document Images," in International Journal of Innovative Computing, Information and Control, Vol. 8, No. 1(A), pp. 303-327, January 2012.
  7. M. R. Lyu, J. Song, and M. Cai, "A comprehensive method for multilingual video text detection, localization, and extraction," IEEE Trans. Circuits Syst. Video Technol. , vol. 15, no. 2, pp. 243 – 255, feb. 2005.
  8. J. Malobabic, N. O'Connor, N. Murphy, and S. Marlow, "Automatic detection and extraction of artificial text in video," in WIAMIS 2004 - 5th International Workshop on Image Analysis for Multimedia Interactive Services, April 2004.
  9. C. Wolf , J. M. Jolion and F. Chassaing, "Text Localization, Enhancement and Binarization in Multimedia Documents", Proceedings of the Int. Conference on Pattern Recognition (ICPR) 2002, vol. 4, IEEE Computer Society,Quebec City, Canada, pp. 1037-1040, August 2002.
  10. C. Wolf and J. M. Jolion, "Extraction and Recognition of Artificial Text in Multimedia Documents", Technical Report RVF-RR-2002. 01, Available: http://rvf. insa-lyon. fr/~wolf/papers/tr-rfv-2002, February 2002.
  11. Mohammad Khodadadi and AlirezaBehrad, "Text Localization, Extraction and Inpainting in color images", ICEE2012, Vol. 12, IEEE, May 2012, pp. 1035-1040.
  12. M. Cai, J. Song, and M. Lyu, "A new approach for video text detection," in Proc. of IEEE International Conference on Image Processing (ICIP), 2002, pp. I–117–I–120.
  13. B. Epshtein, E. Ofek, and Y. Wexler, "Detecting text in natural scenes with stroke width transform," IEEE conference on Computer Vision and Pattern Recognition(CVPR), 2010, pp. 2963–2970, June 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Text Detection Inpainting Bandlet Edge Detector Stroke Width Transformation (swt).