Smart Braille System Recognizer
Braille is a system that allows visually impaired people to write and read. It utilizes the finger touch on raised dots produced by specialized machine. In this paper, we propose a fully system to recognize characters for a single side Braille document. We also present an extensive review for Braille Recognition systems and related research efforts. Our Braille recognition system is entirely flexible to the size of the scanned image. We improve each step starting from the image acquisition until the Braille cell recognition final stage. Our system includes an image acquisition stage, image pre-processing for noise removal, modified image segmentation, feature extraction, and then character recognition. Our proposed system achieved over 94.39% dot recognition accuracy. Moreover, our system is applicable to any language and to both Grades one and two.
Keywords: Optical Braille Recognition, Image Segmentation, Character Recognition.
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ABOUT THE AUTHORS
Aisha Mousa
King Abdullah II School for Information Technology The University of Jordan
Hazem Hiary
King Abdullah II School for Information Technology The University of Jordan
Raja Alomari
King Abdullah II School for Information Technology The University of Jordan
Loai Alnemer
King Abdullah II School for Information Technology The University of Jordan
Aisha Mousa
King Abdullah II School for Information Technology The University of Jordan
Hazem Hiary
King Abdullah II School for Information Technology The University of Jordan
Raja Alomari
King Abdullah II School for Information Technology The University of Jordan
Loai Alnemer
King Abdullah II School for Information Technology The University of Jordan