Open AccessAn Improved Hand Gesture Recognition Algorithm based on image contours to Identify the American Sign Language
Author(s) -
Rakesh Kumar
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1116/1/012115
Subject(s) - computer science , sign language , gesture , gesture recognition , denotation (semiotics) , sign (mathematics) , representation (politics) , image (mathematics) , artificial intelligence , computer vision , american sign language , character (mathematics) , speech recognition , mathematics , linguistics , mathematical analysis , philosophy , geometry , politics , political science , law , semiotics
It is an open era of research to provide the assistance communication to hearing and visually impaired people. For the same, this paper proposed a recognition and classification of hand gesture to identify the correct denotation with maximum accurateness for standard American Sign Language. The proposal intelligently used the information based on image contours to identify the character’s representation of hand gesture. The proposal optimizes the performance overhead through identifications of 17 characters and 6 symbols based on image contours and convexity measurement of Standard American Sign Language without using complex algorithms and specialized hardware devices. Accuracy measurement done through simulation, which shows how our proposal provide more accuracy with minimum complexity in comparison to other state-of-art works.