PC-based braille-to-voice converter using Optical Character Recognition (OCR)
Date of Publication
2005
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Honor/Award
Awarded as best thesis, 2005
Thesis Adviser
Jose Antonio M. Catalan
Defense Panel Chair
Enrique M. Manzano
Defense Panel Member
Jonathan Coronel
Leonard U. Ambata
Abstract/Summary
This study contains the design and construction of a PC based Braille to voice converter using optical character recognition. The system analyzes Braille characters and converts it to its corresponding voice equivalent. An optical scanner is used to capture Braille characters. An I/O control interface is used to act as a user control. Scan, play, space, clear and exit are simulated using the I/O control interface. Using image processing the captured image will be converted to its binary from and further analyzed. Analysis of the binary image is achieved through the computation of the images different properties. The computer then recognized the Braille character and converts it to its equivalent text. The text-to-speech engine, that has a built-in voice synthesizer, is used to convert the letters or formed words into an audio voice output. The systems effectiveness was further assessed through the testing and evaluation of blind individuals.
Abstract Format
html
Language
English
Format
Accession Number
TU12424
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
146 unnumbered leaves ; 28 cm.
Keywords
Optical character recognition devices
Recommended Citation
Duay, J. A., Evangelista, J. T., Lim, H. G., & Sangalang, A. T. (2005). PC-based braille-to-voice converter using Optical Character Recognition (OCR). Retrieved from https://animorepository.dlsu.edu.ph/etd_honors/206