| Summary: | Braille is a tactile that consists of dots which is used by visually impaired people in reading. Braille pattern of alphabet consists of its own pattern in which some of it does not even relate to the alphabet. Thus, it is difficult for normal people to detect and recognize the braille pattern. This paper presents a study of braille image recognition for beginners. The outcome of this study is expected to translate a braille image patterns into a readable alphabet text. A technique of Bag of Features (BOF) is proposed for the recognition of the braille image. On the other hand, the image classification is done using a Support Vector Machine (SVM) technique. Seventy-eight of braille images is tested. From the testing performed, it is found that 97.44% of correct recognition accuracy is achieved which revealed that the proposed techniques are applicable for braille image recognition. © 2018 IEEE.
|
|---|