Implementation of image processing based Digital Dactylology Converser for deaf-mute persons

Muhammad Yaqoob Javed, Muhammad Majid Gulzar, Syed Tahir Hussain Rizvi, M. Junaid Asif, Zaineb Iqbal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Language of signs is usually used by the deaf-mute persons in order to convey their message. But, it becomes very difficult for those who have no knowledge of the sign language. The aim of this research work is to resolve this problem using Digital Dactylology Converser (DDC) which is a device that converts a sign language into voice signal and text message. Primarily a hands gesture is recognised by computer vision program and based on that image a speech and text is played and displayed on the speaker and LCD respectively. Purpose of this device is to make conversation easy between dumb and the normal people around the world. In order to minimize their limitations and enable them to expand their boundaries, this is best suitable device. Experimental results verify the operational accuracy of the device for different users. The proposed device can work well and translates the letters, alphabets to text and sound.

Original languageEnglish
Title of host publication2016 International Conference on Intelligent Systems Engineering, ICISE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages14-18
Number of pages5
ISBN (Electronic)9781467387521
DOIs
StatePublished - 19 May 2016
Externally publishedYes
EventInternational Conference on Intelligent Systems Engineering, ICISE 2016 - Islamabad, Pakistan
Duration: 15 Jan 201617 Jan 2016

Publication series

Name2016 International Conference on Intelligent Systems Engineering, ICISE 2016

Conference

ConferenceInternational Conference on Intelligent Systems Engineering, ICISE 2016
Country/TerritoryPakistan
CityIslamabad
Period15/01/1617/01/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Computer Vision
  • Deaf-mute
  • Digital Dactylology Converser (DDC)
  • Sign Language

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Control and Systems Engineering
  • Instrumentation

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