Cellular Neural Network for Associative Memory and Its Application to Braille Image Recognition

Braille is widely used as communication tools for sight-impaired people. A recognition system of Braille characters is essential for those who can't read them. On the other hand, it is well-known that Cellular Neural Network for associative memory(CNN) is effective for pattern recognition, and various applications have been reported. This paper proposes an improved designing method of neighborhood, and use the Braille recognition system using CNN. We demonstrated an usefulness of the proposed system in recognition experiments. As a result, we could obtain a good recognition rate(87.9%).

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