Transliteration of Braille Code into Text in English Language

  • K. P. S. G. Sugirtha
  • M. Dhanalakshmi
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 490)


Braille is specially designed for visually impaired persons which is a particular system of representing information in tactile form. It acts as written communication medium between sighted people and visually impaired. This paper describes a new system to recognize the braille characters in a six-dot pattern from scanned document and thus transliterate in English language. Scanned documents are preprocessed followed by segmentation of braille cells. From the segmented braille cell, centroid of each braille dot is calculated for the computation of Euclidean distance. Later, a lookup table is constructed utilizing Euclidean distance between the braille dots. Thus, the braille characters are recognized and translated to corresponding text.


Braille characters Image processing Euclidean distance 



Braille documents are acquired from National Institute for Empowerment of Persons with Multiple Disorders (NIEPMD) with consent of Dr. Himangsu Das, Director, NIEPMD. We would also like to thank Mr. Stalin Arul Regan, Mr. Jayakumar, Ms. Meenachi, and Mr. Mahadevan, special teachers for giving detailed insight into braille and its documents acquisition.


  1. 1.
    Hassan MY, Mohammed AG (2011) Conversion of English characters into braille using neural network. IJCCCE 11(2):30–37Google Scholar
  2. 2.
    Grades of Braille [online]. Available
  3. 3.
    Venugopal-Wairagade G (2016) Braille recognition using a camera-enabled smartphone. Int J Eng Manuf 4:32–39Google Scholar
  4. 4.
    Subur J, Sardjono TA, Mardiyanto R (2015) Braille character recognition using find contour method. In: 5th international conference on electrical engineering and information, vol 4(4), pp 48–53Google Scholar
  5. 5.
    Yin J, Wang L, Li J (2010) The research on paper-mediated braille automatic recognition method. In: Fifth international conference on frontier of computer science and technologyGoogle Scholar
  6. 6.
    Jiang M (2002) Braille to print translations of Chinese. Int J Adv Eng Res 91–100Google Scholar
  7. 7.
    Mennens J (1993) Optical recognition of Braille writing. IEEE Int J Softw Innov 428–431Google Scholar
  8. 8.
    Padmavathi S, Manojna KSS, Sphoorthy Reddy S, Meenakshy D (2013) Conversion of braille to text in English, Hindi and Tamil languages. Int J Comput Sci Eng Appl 3(3)Google Scholar
  9. 9.
    Shreekanth T, Udayashankara V (2013) A review on software algorithms for optical recognition of embossed braille Characters. Int J Comput Appl (0975-8887) 81(3):421–429Google Scholar
  10. 10.
    Zhang S, Yoshino K (2007) A braille recognition system by the mobile phone with embedded camera. In: Dengel A, Spitz AL (eds) World Scientific Publishing Co, IEEE 413–421Google Scholar
  11. 11.
    Antonacopoulos A, Bridson D (2004) A robust braille recognition system. In: Dengel A, Marinai S (eds) Document analysis system VI. Lecture notes in computer science, LNCS, vol 3163. Springer, Berlin, pp 533–545Google Scholar
  12. 12.
    Nian-feng L, Li-rong W (2011) A kind of braille paper automatic marking system. Mechatronic science electric engineering and computer (MEC) international conference, pp 664–667Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Biomedical EngineeringSSN College of EngineeringChennaiIndia

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