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Gurumukhi Sign Language Translation Using FCM

By Parul Chauhan, Chirag Sharma and Harleen Kaur Khehra

Abstract

Abstract — This paper implements the one of uses, i.e. sign language translation, of gesture recognition. Sign language is an important tool or way to communicate with the deaf people. It helps the hearing marred people to understand the manual languages, like Hindi, Gurumukhi, etc. In this paper, we build a static and vision based hand gesture translation system. For this purpose we utilize the fuzzy logic to extract the skin region, fuzzy technique to extract the features of extracted skin region, and fuzzy C-means (FCM) clustering for finding the matching word purpose. In this paper we have translated the sign language (SL) to the Gurumukhi letters, which perform classification and make fuzzy clusters. This SL is tested on 41 letters of Gurumukhi

Topics: Sign Language (SL, Gesture recognition, Sign Language Translation
Year: 2014
OAI identifier: oai:CiteSeerX.psu:10.1.1.413.8097
Provided by: CiteSeerX
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