Tamil alphabets sign language translator

Author

Jayanthi, P. ; Thyagharajan, K.K.

Author_Institution

Dept. of Inf. Technol., Anna Univ., Chennai, India

fYear

2013

Firstpage

383

Lastpage

388

Abstract

This paper discusses the key responsibility of the sign language translator for the betterment of interaction between customary people and Deaf and Dump community through Human to Computer Interaction (HCI). HCI is communication between the computer peripherals/components and human being. The system does not rely on gloves to achieve the recognition job. The sign language translator benefits the Deaf and Dumb people as well as normal people. We accomplished Hand Segmentation Using Lab Color Space (HSL) by extracting the `a´ component of the LAB image. The background is non-reflecting single color. The feature extraction is done with the help of Generalized Hough Transform technique. System is able to recognize 31 Tamil Language Alphabets equation.

Keywords

Hough transforms; feature extraction; handicapped aids; human computer interaction; image colour analysis; natural language processing; sign language recognition; HCI; HSL; LAB image component extraction; Tamil alphabet sign language translator; computer peripherals; customary people; deaf and dumb people; deaf and dump community; feature extraction; generalized Hough transform technique; hand segmentation using lab color space; human to computer interaction; nonreflecting single color background; Assistive technology; Convolution; Gesture recognition; Image color analysis; Image edge detection; Image segmentation; Shape; GFHT; Gesture recognition; Hand Segmentation using Lab Color space; Sign language translator;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computing (ICoAC), 2013 Fifth International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4799-3447-8

Type

conf

DOI

10.1109/ICoAC.2013.6921981

Filename

6921981