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

Print

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

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