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Many people who have visual disturbance, called as “low vision”, such as old sight and cataract feel inconvenient in daily life. For example, climbing stairs, walking the street, reading information on a newspaper or a book, etc.. Especially, they have a difficulty to read characters without using optical aids. In this paper, we propose a novel algorithm to transform a character appearance for compensating the differences of visual perception such as blurring. In the proposed method, characters in an image are transformed into the characters which can be recognized with ease according to pre-learning rules. In the experiments, we apply the proposed method to various characters and fonts. The experimental results show the effectiveness of proposed method.

Character Image Transformation for Low Vision Aids Based on Learning of Conspicuous Structures