Alphabet braille translator using an optical character recognition and support vector machine

Mohd Zulkupli, Mohammad Rozwan (2017) Alphabet braille translator using an optical character recognition and support vector machine. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The system that will be built for this project is called Braille translator using optical character recognition (OCR). A braille is a system that used for the impaired vision person to read the word. The braille consist of 6 dot in 2x3 matrix. Each braille have its own characteristic and meanings .By applying an OCR it can make the system read the braille to translate it an alphabet itself. Project involves development a software to make braille that can translate it to alphabet. The purpose of developing the software is to make the process of learning and recognition of the braille by the instructor is ease and consume the time. The instructor just capture the paper that contain the braille character then upload it to this software, then by OCR it will match the braille character with the right alphabet. This project is develop because for the normal person it hard to translate the braille itself if he want to discover it and the proses to translating the braille is take time and slowly if do manually. Then the objective of this project is to convert the braille dot to Roman alphabet, develop the system that robust to detect any braille character and to make the process of the learning of the braille easy for the normal person. The contribution of the project is help the process of learning interactions between the student and the instructor in the school and make the instructor easily translate the braille character by using the application.

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