Abstract
Technology has made the visually impaired life more comfortable. Access to textual information has become simple to the visually impaired community. Braille is widely used as communication tool for visually impaired people. The reading and writing communication for the visually impaired is available through the Braille language all over the world. Braille notations are available for most of the languages all over the world. Kannada is a south Indian language, which follows syllable writing method. People who work in association with visually impaired and can’t understand Braille notation, require conversion of Braille document into a normal language representation. This paper presents an efficient algorithm for converting a Kannada Braille symbols into its equivalent normal version.
Hand punched Kannada Braille document is used for the experimentation. The document image is segmented to extract Braille characters one at a time and compared with the knowledge base created to identify the equivalent normal version of it. Six different knowledge bases are created to reduce the search time complexity.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Dubus, J.P., Benjelloun, M., Devlaminck, V., Wauquier, F., Altmayer, P.: Image Processing techniques to perform an autonomous System to translate relief Braille back into ink called LectoBraille. In: IEEE 10th International Conference in Medicine and Biology Society, New Orleans, pp. 1584–1585 (November 1988)
Mennens, J.: Optical recognition of Braille writing. IEEE, 428–431 (1993)
Mennens, J., Va Tichelen, L., Francois, G., Engelen, J.J.: Optical Recognition of Braille writing using Standard Equipment. IEEE Trnsactions on Rehabilitation Engineering 2(4) (December 1994)
Ng, C., Ng, V., Lau, Y.: Regular feature extraction for recognition of Braille. In: Proceedings of Third International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 1999, pp. 302–306 (1999)
Murray, I., Dias, T.: A portable device for optically recognizing braille - part i: hardware development. In: The Seventh Australian and New Zealand Intelligent Information Systems Conference 2001, pp. 129–134 (2001)
Murray, I., Dias, T.: A portable device for optically recognizing braille - part ii: software development. In: The Seventh Australian and New Zealand Intelligent Information Systems Conference 2001, pp. 141–146 (2001)
Morgavi, G., Morando, M.: A neural network hybrid model for an optical Braille recognitor. In: International Conference on Signal, Speech and Image Processing, ICOSSIP 2002 (2002) CD ROM
Wong, L., Abdulla, W., Hussmann, S.: A software Algorithm prototype for Optical Recognition of Embossed Braille. In: Proceeding of 17th International Conference on Pattern Recognition, ICPR 2004 (2004)
FalcĂłn, N., Travieso, C.M., Alonso, J.B., Ferrer, M.A.: Image Processing Techniques for Braille Writing Recognition. In: Moreno DĂaz, R., Pichler, F., Quesada Arencibia, A. (eds.) EUROCAST 2005. LNCS, vol. 3643, pp. 379–385. Springer, Heidelberg (2005)
Al-Salman, A.M., Alohai, Y., ALKanhal, M., AIRajith, A.: An Arabic Optical Braille Recognition System. In: ICTA 2007, Hammamet, Tunisia, pp. 12–14 (2007)
Tai, Z., Cheng, S., Verma, P.: Braille Document Parameters Estimation for Optical Character Recognition. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Remagnino, P., Porikli, F., Peters, J., Klosowski, J., Arns, L., Chun, Y.K., Rhyne, T.-M., Monroe, L. (eds.) ISVC 2008, Part II. LNCS, vol. 5359, pp. 905–914. Springer, Heidelberg (2008)
Al-Saleh, A., El-Zaart, A., AlSalman, A.: Dot Detection of Optical Braille Images for Braille Cells Recognition. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 821–826. Springer, Heidelberg (2008)
Rantala, J., Raisamo, R., Lylykangas, J., Surakka, V., Raisamo, J., Pakkanen, K.S.T., Hippula, A.: Methods for Presenting Braille Characters on a Mobile Device with a TouchScreen and Tactile Feedback. IEEE Transactions on Haptics 2(1) (January-March 2009)
Zhang, S., Yoshino, K.: A Braille Recognition System by the Mobile Phone with Embedded Camera (2010)
Al-Shamma, S.D., Fathi, S.: Arabic Braille Recognition and Transcription into Text and Voice. In: 5th Cairo International Biomedical Engineering Conference, Cairo, Egypt, December 16-18 (2010)
Srinath, S., Ravi Kumar, C.N.: An Insight into Optical Braille Character Recognition since its conceptualization. International Journal of Computer Applications 33(6) (November 2011)
Srinath, S., Ravi Kumar, C.N.: Recognition of Kannada Braille Characters using Histogram Approach. In: National Conference on Advancement in Computer Applications, FISAT, Angamaly Ernakulam Dist, Kerala, India (December 2011)
http://www.dimensionsguide.com/dimensions-of-a-standard-braille-sheet/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer India
About this paper
Cite this paper
Srinath, S., Ravi Kumar, C.N. (2013). Recognition of Hand Punched Kannada Braille Characters Using Knowledge Based Multi Decision Concept: Basic Symbols. In: Kumar M., A., R., S., Kumar, T. (eds) Proceedings of International Conference on Advances in Computing. Advances in Intelligent Systems and Computing, vol 174. Springer, New Delhi. https://doi.org/10.1007/978-81-322-0740-5_101
Download citation
DOI: https://doi.org/10.1007/978-81-322-0740-5_101
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-0739-9
Online ISBN: 978-81-322-0740-5
eBook Packages: EngineeringEngineering (R0)