Double handed Indian Sign Language to speech and text

Abstract

Sign Language is the main communicating tool for hearing impaired and mute people, and to ensure an independent life for them, the automatic interpretation of sign language is an extensive research area. With the use of image processing and artificial intelligence, many techniques and algorithms have been developed in this area. Every sign language recognition system is trained for recognizing the signs and converting them into required pattern. The proposed system aim to provide speech to speechless, in this paper the double handed Indian Sign Language is captured as a series of images and it’s processed with the help of MATLAB and then it’s converted to speech and text.

Publication
2015 Third International Conference on Image Information Processing (ICIIP)
Kusumika Dutta
Kusumika Dutta
Assistant Professor

Kusumika Krori Dutta, working as Assistant professor in Electrical and Electronics Engineering Department , MSRIT, Bangalore, India. She completed B.E (Electrical Engg) , M.Sc(Engg) by research and pursuing PhD in investigation on neurological disorder. She believes in lifelong learning and is passionate to explore different socio-cultural needs and their solutions through her indagation. Her love towards research, aided her to invent a mathematical formula of pattern based multiplication and patented many products having social utility

Sunny Arokia Swamy Bellary
Sunny Arokia Swamy Bellary
Engineer/Scientist II

EPRI Engineer | AI Enthusiast | Computer Vision Researcher | Robotics Tech Savvy | Food Lover | Wanderlust | Team Leader @Belaku | Musician |

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