Braille Character Recognition Using Image Processing
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Braille Character Recognition Using Image Processing
Bhoomika P¹, Mithun Raj S R², Aadin Anayodan3, Anjali C S4, Sailaja Thota5
1,2,3,4,5School of Computer Science and Engineering, REVA University,
Bangalore, Karnataka, India.
bhoomikapathapati@gmail.com1, mithunraj046@gmail.com2,
aadindev@gmail.com3, asshettysrinivas@gmail.com4, sailaja.thota@reva.edu.in5
Abstract – Braille characters are designed for the visually challenged which consist of six embossed points arranged in a standard character format. Finger sensitivity is crucial in reading Braille characters by touch, and learning them can be challenging as they need to be memorized. The present work aims to use image pre-processing techniques such as cropping, grayscale conversion, thresholding, erosion, and dilation to process Braille character images. These processed images will then be subjected to image processing and optical character recognition (OCR) methods to recognize the Braille characters and convert them into alphanumeric text. The implementation of this innovative idea could have a significant positive impact on the creation of educational materials for individuals with visual impairment and other related applications.
Index Terms – Braille, grayscale, thresholding, erosion, dilation, image processing, OCR(Optical Character Recognition).
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