TELKOMNIKA Telecommunication, Computing, Electronics and Control
Automated Bangla sign language translation system for alphabets by means of MobileNet
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Automated Bangla sign language translation system for alphabets by means of MobileNet
Automated Bangla sign language translation system for alphabets by means of MobileNet
Subject
Accuracy, Bangla sign language (BSL), CNN, Convolution, MobileNet
Description
Individuals with hearing and speaking impairment communicate using sign language. The movement of hand, body and expressions of face are
the means by which the people, who are unable to hear and speak, can communicate. Bangla sign alphabets are formed with one or two hand
movements. There are some features which differentiates the signs. To detect and recognize the signs, analyzing its shape and comparing its features is necessary. This paper aims to propose a model and build a computer systemthat can recognize Bangla Sign Lanugage alphabets and translate them to corresponding Bangla letters by means of deep convolutional neural network (CNN). CNN has been introduced in this model in form of a pre-trained model called “MobileNet” which produced an average accuracy of 95.71% in recognizing 36 Bangla Sign Language alphabets.
the means by which the people, who are unable to hear and speak, can communicate. Bangla sign alphabets are formed with one or two hand
movements. There are some features which differentiates the signs. To detect and recognize the signs, analyzing its shape and comparing its features is necessary. This paper aims to propose a model and build a computer systemthat can recognize Bangla Sign Lanugage alphabets and translate them to corresponding Bangla letters by means of deep convolutional neural network (CNN). CNN has been introduced in this model in form of a pre-trained model called “MobileNet” which produced an average accuracy of 95.71% in recognizing 36 Bangla Sign Language alphabets.
Creator
Tazkia Mim Angona, A. S. M. Siamuzzaman Shaon, Kazi Tahmid Rashad Niloy,
Tajbia Karim, Zarin Tasnim, S. M. Salim Reza, Tasmima Noushiba Mahbub
Tajbia Karim, Zarin Tasnim, S. M. Salim Reza, Tasmima Noushiba Mahbub
Source
DOI: 10.12928/TELKOMNIKA.v18i3.15311
Publisher
Universitas Ahmad Dahlan
Date
June 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Tazkia Mim Angona, A. S. M. Siamuzzaman Shaon, Kazi Tahmid Rashad Niloy,
Tajbia Karim, Zarin Tasnim, S. M. Salim Reza, Tasmima Noushiba Mahbub, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Automated Bangla sign language translation system for alphabets by means of MobileNet,” Repository Horizon University Indonesia, accessed September 20, 2024, https://repository.horizon.ac.id/items/show/3893.
Automated Bangla sign language translation system for alphabets by means of MobileNet,” Repository Horizon University Indonesia, accessed September 20, 2024, https://repository.horizon.ac.id/items/show/3893.