A Real-Time American Sign Language Recognition System using Convolutional Neural Network for Real Datasets

A Real-Time American Sign Language Recognition System using Convolutional Neural Network for Real Datasets

In this paper, a real-time ASL recognition system was built with a ConvNet algorithm using real colouring images from a PC camera. The model is the first ASL recognition model to categorize a total of 26 letters, including (J & Z), with two new classes for space and delete, which was explored wi...

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Bibliographic Details
Main Authors: Rasha Amer Kadhim, Muntadher Khamees
Format: Article
Language:English
Published: UIKTEN 2020-08-01
Series:TEM Journal
Subjects:
asl recognition system
deep learning
convolutional neural network (cnns)
classification
real-time
Online Access:http://www.temjournal.com/content/93/TEMJournalAugust_937_943.pdf

Internet

http://www.temjournal.com/content/93/TEMJournalAugust_937_943.pdf

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