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    Text-to-Braille Translator in a Chip

    19948_downloaded_stream_466.pdf (4.052Mb)
    Access Status
    Open access
    Authors
    Zhang, Xuan
    Ortega-Sanchez, Cesar
    Murray, Iain
    Date
    2006
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Zhang, Xuan and Ortega-Sanchez, Cesar and Murray, Iain. 2006. Text-to-braille translator in a chip, in Proceedings of the 4th International Conference on Electrical and Computer Engineering, Dec 19-21 2006, pp. 530-533. Dhaka, Bangladesh: Bangladesh University of Engineering and Technology.
    Source Title
    Procs. 4th International Conference on Electrical and Computer Engineering
    Source Conference
    International Conference on Electrical and Computer Engineering
    DOI
    10.1109/ICECE.2006.355685
    Faculty
    Faculty of Engineering and Computing
    Department of Electrical and Computer Engineering
    Division of Engineering, Science and Computing
    Remarks

    Copyright 2006 IEEE

    This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/12628
    Collection
    • Curtin Research Publications
    Abstract

    This paper describes the hardware implementation of a text to Braille Translator using Field-Programmable Gate Arrays (FPGAs). Different from most commercial software-based translators, the circuit presented in this paper is able to carry out text-to-Braille translation in hardware. The translator is based on the translating algorithm, proposed by Paul Blenkhorn (Blenkhorn 1997). The Very high speed Hardware Description Language (VHDL) was used to describe the chip in a hierarchical way. The test results indicate that the hardware-based translator achieves the same results as software-based commercial translators, with superior throughput.

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