Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
An optical reading system for embossed Braille characters using a twin shadows approach
Journal of Microcomputer Applications
Regular Feature Extraction for Recognition of Braille
ICCIMA '99 Proceedings of the 3rd International Conference on Computational Intelligence and Multimedia Applications
Gaining production rules for a MARKOV Braille translation algorithm
ACM SIGCAPH Computers and the Physically Handicapped
A Software Algorithm Prototype for Optical Recognition of Embossed Braille
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
A Braille Recognition System by the Mobile Phone with Embedded Camera
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
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There is a significant need for a system to recognize Braille documents in order to preserve them and make them available to a larger group of visually impaired people. A new system for Braille document recognition is proposed. We introduce a highly-adaptive Braille documents parameters estimation method to automatically determine the rotation angle, indentations, and spacing in both vertical and horizontal orientation. The key element in determining the rotation angle of the images is based on Radon transform. Also we introduce the method of Braille translation using Belief Propagation on the assumption that the Braille document is a Hidden Markov Model. We demonstrate the effectiveness of rotation angle correction as well as the accuracy of indentation and spacing in both orientations. We also prove that the translation algorithm is efficient and robust to errors made in the dot detection. The proposed method may be used for further applications.