Application of Deep Learning to Classification of Braille Dot for Restoration of Old Braille Books

Abstract

The Braille book gradually causes from ordinary printed books. Because the Braille is a reading letter and visually impaired people touch the boss with the finger’s belly, in Braille books that are frequently read, the Braille are dirty with aged use, holes open, and they collapse. In our project, we convert Braille books into machine-readable electronic data and finally restore the book. First, a Braille book is scanned by an image. Next, we detect braille by image recognition technology. And next we interpret the image, classify and identify Braille. Furthermore, we correct errors such as misdetection of braille and misidentification. Finally, we save the result as a character code. In this paper, we report techniques of elimination of gradient in the scanning images of Braille book, those of detection and identification of the Braille dot, and those of interpretation of braille dots as cells.