26 February 2010 A self-teaching image processing and voice-recognition-based, intelligent and interactive system to educate visually impaired children
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Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75461U (2010) https://doi.org/10.1117/12.856291
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
Abstract
A self teaching image processing and voice recognition based system is developed to educate visually impaired children, chiefly in their primary education. System comprises of a computer, a vision camera, an ear speaker and a microphone. Camera, attached with the computer system is mounted on the ceiling opposite (on the required angle) to the desk on which the book is placed. Sample images and voices in the form of instructions and commands of English, Urdu alphabets, Numeric Digits, Operators and Shapes are already stored in the database. A blind child first reads the embossed character (object) with the help of fingers than he speaks the answer, name of the character, shape etc into the microphone. With the voice command of a blind child received by the microphone, image is taken by the camera which is processed by MATLAB® program developed with the help of Image Acquisition and Image processing toolbox and generates a response or required set of instructions to child via ear speaker, resulting in self education of a visually impaired child. Speech recognition program is also developed in MATLAB® with the help of Data Acquisition and Signal Processing toolbox which records and process the command of the blind child.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Asim Iqbal, Umar Farooq, Hassan Mahmood, Muhammad Usman Asad, Akrama Khan, Hafiz Muhammad Atiq, "A self-teaching image processing and voice-recognition-based, intelligent and interactive system to educate visually impaired children", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75461U (26 February 2010); doi: 10.1117/12.856291; https://doi.org/10.1117/12.856291
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