E-Braille Documents: Novel Method For Error Free Generation

• Autorzy: Wajid M. , Kumar V.
• Języki publikacji: EN

Abstrakty

EN

Present manuscript proposes a technique for estimating the angle of rotation for a Braille document image which in turn will be used for aiding its automatic character recognition. The technique is based on maximizing number of null projection of the derived image vector. Results show that any amount of rotation transformed distortion can be nullified and thus leading to proper reading of imprinted Braille character pattern. The proposed methods have been successfully tested on manually written as well as computer generated Braille with rotation distortion.

Słowa kluczowe

EN

Braille document image; vector graphics

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2014
• Tom: Vol. 19, no. 4
• Strony: 21--26
• Opis fizyczny: Bibliogr. 6 poz., rys.

Twórcy

autor

Wajid M.

• Department of Electronics and Communication Engineering, JUIT, Solan, India

autor

Kumar V.

• Electronics and Communication Engineering Department, Thapar University, Patiala

Bibliografia

• [1] Bar-Cohen, Y. (2009). Electroactive polymers for refreshable Braille displays. SPIE Newsroom, 11.
• [2] Blenkhorn, P. (1997). A system for converting print into braille, IEEE Transactions on Rehabilitation Engineering, 5(2), 121–129
• [3] Blenkhorn, P. (1995). A system for converting braille into print, IEEE Transactions on Rehabilitation Engineering, 3(2), 215–221
• [4] Paul, B., Gareth, E. (2001). Automated braille production from word-processed documents, IEEE transactions on Neural Systems and Rehabilitation Engineering, 9(9), 81–85
• [5] Supriya, S., Senthilkumar, A. (2009). Electronic Braille pad. In Control, Automation, Communication and Energy Conservation, 2009. INCACEC 2009. International Conference on IEEE. 1–5
• [6] Wajid, M., Abdullah, M.W., Farooq, O. (2011). Imprinted Braille-character pattern recognition using image processing techniques. In Image Information Processing (ICIIP), 2011 International Conference on IEEE. 1–5