An Intelligent Kurdish Sign Language Recognition System Based on Tuned CNN

Hearing-impaired individuals have both hearing and speech disabilities. Therefore, they use a special language that involves visual gestures—known as “sign language”—for communicating ideas and emotions. Recognizing the gestures contained in sign language enables deaf people communicate more effecti...

Full description

Saved in:

Bibliographic Details
Published in:	SN computer science Vol. 3; no. 6; p. 481
Main Authors:	Ahmed, Hunar Abubakir, Mustafa, Sazgar Yassin, Braim, Sumaya Zrar, Rasull, Razawa Mohammed
Format:	Journal Article
Language:	English
Published:	Singapore Springer Nature Singapore 01.11.2022 Springer Nature B.V
Subjects:	Accuracy Algorithms Artificial neural networks Communication Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Datasets Deafness Deep learning Disabilities Discriminant analysis Hearing Image resolution Information Systems and Communication Service Original Research Pattern Recognition and Graphics Sensors Sign language Software Engineering/Programming and Operating Systems Vision Kurdistan Iraq Sign language recognition CNN Data acquisition Transfer learning
ISSN:	2661-8907, 2662-995X, 2661-8907
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!