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Hardware-based text-to-braille translator

Published: 23 October 2006 Publication History

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 is able to carry out text-to-Braille translation in hardware. The translator is based on the translating algorithm, proposed by Paul Blenkhorn [1]. 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.

References

[1]
Blenkhorn, P. A System for Converting Print into Braille, IEEE Transactions on Rehabilitation Engineering, vol. 5, No. 2, pp. 121--129, 1997.
[2]
Jonathen, A. Recent Improvement in Braille Transcription, Proceedings of the ACM annual Conference, vol. 1, Boston, pp.208--218, 1972.
[3]
Blenkhorn, P. A System for Converting Braille into Print, IEEE transactions on Rehabilitation Engineering, vol. 3, no. 2, pp.215--221, 1995.
[4]
Zeidman, B. Designing with FPGAs and CPLDs, CMP books, 2002, ISBN: 1-57820-112-8.
[5]
Memec Inc. Virtex-4(TM) FX12 LC Development Board User's Guide, electronic documentation, version 1.0, 2005.

Cited By

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  • (2023)Towards Better English to Bharti Braille Neural Machine Translation Through Improved Name Entity TranslationArtificial Intelligence of Things10.1007/978-3-031-48781-1_23(290-300)Online publication date: 3-Dec-2023
  • (2022)Improving the Quality of English-Bharati Braille Machine Translation Using Syntax AnalysisProceedings of Third Doctoral Symposium on Computational Intelligence10.1007/978-981-19-3148-2_58(671-683)Online publication date: 10-Nov-2022
  • (2022)Handwritten Text to Braille for Deaf-Blinded People Using Deep Neural Networks and PythonMobile Radio Communications and 5G Networks10.1007/978-981-16-7018-3_28(379-393)Online publication date: 3-Mar-2022
  • Show More Cited By

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Published In

cover image ACM Conferences
Assets '06: Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
October 2006
316 pages
ISBN:1595932909
DOI:10.1145/1168987
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2006

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Author Tags

  1. FPGAs
  2. VHDL
  3. braille translation

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Cited By

View all
  • (2023)Towards Better English to Bharti Braille Neural Machine Translation Through Improved Name Entity TranslationArtificial Intelligence of Things10.1007/978-3-031-48781-1_23(290-300)Online publication date: 3-Dec-2023
  • (2022)Improving the Quality of English-Bharati Braille Machine Translation Using Syntax AnalysisProceedings of Third Doctoral Symposium on Computational Intelligence10.1007/978-981-19-3148-2_58(671-683)Online publication date: 10-Nov-2022
  • (2022)Handwritten Text to Braille for Deaf-Blinded People Using Deep Neural Networks and PythonMobile Radio Communications and 5G Networks10.1007/978-981-16-7018-3_28(379-393)Online publication date: 3-Mar-2022
  • (2007)A Hardware Based Braille Note Taker2007 3rd Southern Conference on Programmable Logic10.1109/SPL.2007.371736(131-136)Online publication date: Feb-2007
  • (2007)A System for Fast Text-to-Braille Translation Based on FPGAs2007 3rd Southern Conference on Programmable Logic10.1109/SPL.2007.371735(125-130)Online publication date: Feb-2007

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