@inproceedings{d9b82673bf824cd2a7fad16544930ef7,
title = "Braille character recognition using find contour method",
abstract = "Braille letters is characters designed for the blind, composed of six embossed points, arranged in a standard braille character. Braille letters is touched and read using fingers, therefore the sensitivity of the fingers is important. Those characters need to be memorized, so it is very difficult to be learned. The aim of this research is to create a braille characters recognition system and translate it to alpha-numeric text. Webcam camera is used to capture braille image from braille characters on the paper sheet. Cropping, grayscale, thresholding, erotion, and dilation techniques are used for image preprocessing. Then, find contour method and image recognition lookup table method are used to recognize the braille characters. The system can recognize braille characters with 100% accuracy even when the braille image is tilted up to 0.5 degrees.",
keywords = "Find contour, braille characters, image processing, webcam",
author = "Joko Subur and Sardjono, {Tri Arief} and Ronny Mardiyanto",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th International Conference on Electrical Engineering and Informatics, ICEEI 2015 ; Conference date: 10-08-2015 Through 11-08-2015",
year = "2015",
month = dec,
day = "10",
doi = "10.1109/ICEEI.2015.7352588",
language = "English",
series = "Proceedings - 5th International Conference on Electrical Engineering and Informatics: Bridging the Knowledge between Academic, Industry, and Community, ICEEI 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "699--703",
booktitle = "Proceedings - 5th International Conference on Electrical Engineering and Informatics",
address = "United States",
}