Static Devnagari Sign Language Recognition

Volume 3 Issue 3 September - November 2016

Research Paper

Static Devnagari Sign Language Recognition

Versha Verma*, Sandeep B. Patil**

* PG Student, Department of Electronics and Telecommunication Engineering, Shri Shankaracharya Technical Campus, Bhilai, India.

** Associate Professor, Department of Electrical and Electronics Engineering, Shri Shankaracharya Technical Campus, Bhilai, India.

Verma, V., and Patil, S. B. (2016). Static Devnagari Sign Language Recognition. i-manager’s Journal on Pattern Recognition. i-manager’s Journal on Pattern Recognition, 3(3), 13-18. https://doi.org/10.26634/jpr.3.3.12406

Abstract

Hand gesture based sign language is a different way of communication among the Deaf-mute and physically impaired people performed using specific hand gestures. Deaf-mute people face struggle in expressing their feelings to other people, which creates a communication gap between normal and deaf-mute people. This paper, based on hand gesture based Devnagari Sign language Recognition approaches aim to provide a communication way for the Deafmute Community over the society. Therefore, the authors have used static hand gesture based sign language recognition for Deaf-mute communication system. Many researchers use only single American Sign Language or Indian Sign Language for creating their database. In this paper, recent research of sign language is reviewed based on manual communication and body language. A hand gesture based Devnagari Sign Language for recognizing Hindi characters using hand gestures of Deaf-mute people is developed. Devnagari Sign Language recognition system is typically explained with five steps, i.e. acquisition, segmentation, pre-processing, feature extraction, and classification.