Regular Feature Extraction for Recognition of Braille
ICCIMA '99 Proceedings of the 3rd International Conference on Computational Intelligence and Multimedia Applications
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
Recognition by Symmetry Derivatives and the Generalized Structure Tensor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Braille Document Parameters Estimation for Optical Character Recognition
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Offline handwritten Amharic word recognition
Pattern Recognition Letters
Image processing techniques for braille writing recognition
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
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This paper presents an approach for recognition of Ethiopic braille documents. We have used direction field tensor for noise removal and isolation of braille dots from their background. A new skewness correction technique, which exploits the horizontal direction nature of braille dots, is designed. A half character derection method, which differentiates braille dots from noise, is applied. Having recognized the half characters through analysis of their dot positions, the braille cells are formulated by way of examining horizontal distances between the half characters. The system is also designed to determine braille dot sizes automatically so that it works for different braille documents with different braille dot sizes. We have finally used a table lookup for translating each braille cell into its corresponding Ethiopic print character.