Performance Analysis of Sign Language Recognition System Using Hybrid Feature Descriptor

J Kaur, N Mittal, S Kaur - Cyber Technologies and Emerging Sciences …, 2022 - Springer
The main objective of this paper is to analyze the classifier performance for the recognition
of sign language using hybrid feature descriptor. Techniques for the recognition of sign …

Comparison of Gaussian Hidden Markov Model and Convolutional Neural Network in Sign Language Recognition System

H Gunawan, D Pratama - 2021 1st International Conference …, 2021 - ieeexplore.ieee.org
Sign language Recognition is the study to help bridging communication of deaf-mute
people. Sign Language Recognition uses techniques to convert gestures of sign language …

PATTERN CLASSIFICATION SIGN LANGUAGE USING FEATURES DESCRIPTORS AND MACHINE LEARNING

N Nurhadi, EA Winanto, RM Said… - Jurnal Teknik …, 2024 - jutif.if.unsoed.ac.id
Sign language is way of communication for the deaf and speech impaired. In Indonesia, the
utilization of a standardized language involves the incorporation of American Sign …

Computer Vision Based Sign Language Recognition System

ZJ Lim - 2020 - eprints.tarc.edu.my
Sign language is a language that uses body movements, gestures, and facial expressions to
convey messages or information. Sign languages are commonly used among hearing …

Evaluation of Feature Extractors for Sign Language Recognition

NK Ojha, H Srivastava, N Rakesh - 2021 10th IEEE …, 2021 - ieeexplore.ieee.org
Hand gestures play a very dominant role in human daily life to pass the information. The
main application of hand gesture recognition is recognition of sign language. Sign language …

Indian sign language recognition using combined feature extraction

R Itkarkar Rajeshri, AKV Nandi… - Advances in Medical …, 2021 - Springer
This research paper aims for the recognition of Indian sign language (ISL). Sign language is
a language commonly used by deaf and dumb people to communicate with each other and …

Feature extraction methods in sign language recognition system: a literature review

F Wiryana, GP Kusuma, A Zahra - … Indonesian association for …, 2018 - ieeexplore.ieee.org
Sign language is a way to communicate between deaf-mute people and normal people by
performing hand gesture. Visual-based gesture recognition can help to overcome this …

A comprehensive study on feature extraction and classification techniques for sign language recognition

J Singh, H Singh, V Goyal - 2021 5th International Conference …, 2021 - ieeexplore.ieee.org
Sign language is the single means by using which the deaf community can interact with
individuals living across the world. However, a small population of normal people can …

Design of sign language recognition using E-CNN

C Suardi, AN Handayani, RA Asmara… - 2021 3rd East …, 2021 - ieeexplore.ieee.org
Most people do not understand sign language, so they need a bridge for the community to
be able to communicate with deaf people. Technology that continues to develop and …

American sign language recognition using support vector machine and convolutional neural network

V Jain, A Jain, A Chauhan, SS Kotla… - International Journal of …, 2021 - Springer
A sign language recognition system is an attempt to help the speech and the hearing-
impaired community. The biggest challenge is to recognize a sign accurately. This can be …