This paper proposes an automatic gesture recognition approach for Indian Sign Language
(ISL). Indian sign language uses both hands to represent each alphabet. We propose an …

The literature contains many proposed solutions for automatic sign language recognition.
However, the ArSL (Arabic Sign Language), unlike ASL (American Sign Language), did not …

Sign Language Recognition has emerged as one of the important area of research in
Computer Vision. The difficulty faced by the researchers is that the instances of signs vary …

Sign Language is the most natural and expressive way for the hearing impaired. This paper
presents a methodology which recognizes the Indian Sign Language (ISL) and translates …

Sign Language Recognition is one of the most growing fields of research today. Many new
techniques have been developed recently in these fields. Here in this paper, we have …

This paper proposes two new approaches of hand gesture recognition which will recognize
sign language gestures in a real time environment. A hybrid feature descriptor, which …

Abstract Indian Sign Language (ISL) consists of static as well as dynamic hand gestures for
communication among deaf and dumb persons. Most of the ISL gestures are produced …

Over the years, communication has played a vital role in exchange of information and
feelings in one's life. Sign language is the only medium through which specially abled …

Sign language recognition is an important area of human computer interaction (HCI). The
last decade witnessed a good number of publications in this field. Furthermore, several …

Sign language is the most natural and expressive way for the hearing impaired. Because of
this, automatic sign language recognition has long attracted vision researchers. It offers …