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Automatically Identifying the Text Name Detection with Speech Output for Blind Persons

Authors(2):

D.Ramya, K.Sumathi
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The camera-based assistive text reading framework to share the information for blind persons to read text name and product packaging from hand-held objects in their day-to-day life is proposed. The work consists of three stages. First is image capturing –by using a mini camera, the text which the user want to read will get captured as an image and have to transfer to the image processing platform. Second is text recognition –by single text recognition algorithm, the text will get filtered from the image in the screen. Third is speech output - the filtered text will be shared into system to get an audio speech output. The entire process is done with the help of MATLAB software.

D.Ramya, K.Sumathi

Image capturing, Text, Region detection, Character recognition, Speech output, Mat lab software.

  1. X.chen and A.yuille." Detecting and reading text in natural scenes."In proceedings of IEEE Conferenceon (CVPR) volume 2, pages II-366. IEEE, 2004
  2. L. Neumann and J. Matas. "Real-time scene text localization and recognition. " In proceedings, Eighth International conference on Document Analyisis and Recognition (CVPR), 2012.
  3. T. de campos, B. Babu and M. varma "Character recognition in natural images. " In VISAP, 2009.
  4. K. Wang, B.Babenko and S.Belongie. "End-to-end scene text recognition." In international conference on computer vision(ICVV), 2011.
  5. Per-Erik Forssen and David G.Lowe "Shape Descriptors For Maximally Stable Extermal Regions."
  6. P. E Forssen." Maximally Stable colour regions for recognition and matching". In IEEE coference on computer vision and pattren Recognition,Minneapolis, USA, June 2007. IEEE Computer Society.
  7. J. Matas, O. Chum, M.Urban and T. Pajdla."Robust wide baseline stero from maximally stable extremal regions." In 13th BMVC, pages 384-393 September 2002.
  8. M.Yokobayashi and T.wakahara. "Segmentation and recognition of characters in scene images using selective binarization in color space and get correlation." In proceedings, Eighth (IDAR), pages 167-171, IEEE, 2005
  9. Saleh Ali K. Al-Omari, Putra sumari, Sadik ". Digital Recognition using Neural Networks." Journal of computer sciences,2009.
  10. Chucai Yi and Aries Arditi "Portable Camera-Based Assistive Text and Product Label Reading From Hand-Held Objects for Blind Persons", vol. 19, no. 3, june 2014.
  11. Amarnath singh, S.Ram kishore, G. swathi, "Portable read pad for object identification for blind through mat lab and android", January 2015.
  12. Prof.R.R.Bhambare, Akshay Koul, Siddique Mohd Bilal, Siddharth Pandey, "Smart vision system for blind", Vol 3, May 2014.
  13. Dimitrios Dakopoulos and Nikolaos G.Bourbakis"WearableObstacle Avoidance Electronic Travel Aids for Blind " vol. 40, no. 1, January 2010.
  14. Boris Epshtein, Eyal Ofek and Yonatan Wexler," Detecting Text in Natural Scenes with Stroke Width transform". in  Proc.comput. vision pattern recognit.2010.
  15. S. pushpalata, R. infantabinaya, E. esakkiammal, "Handheld Object Identification and Text reading for Visually challenged" International Conference on Science, Technology, Engineering & ManagementICON-STEM’15 Journal of Chemical and Pharmaceutical Sciences.Issue 10: July 2015 .

Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
424-428 IJSRSET162264   Technoscience Academy

Cite This Article

D.Ramya, K.Sumathi, "Automatically Identifying the Text Name Detection with Speech Output for Blind Persons ", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.424-428, March-April-2016.
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