Borno-Net: A Real-Time Bengali Sign-Character Detection and Sentence Generation System Using Quantized Yolov4-Tiny and LSTMs

Borno-Net: A Real-Time Bengali Sign-Character Detection and Sentence Generation System Using Quantized Yolov4-Tiny and LSTMs

Sign language is the most commonly used form of communication for persons with disabilities who have hearing or speech difficulties. However, persons without hearing impairment cannot understand these signs in many cases. As a consequence, persons with disabilities experience difficulties while expr...

Full description

Bibliographic Details
Main Authors: Nasima Begum, Rashik Rahman, Nusrat Jahan, Saqib Sizan Khan, Tanjina Helaly, Ashraful Haque, Nipa Khatun
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
deep learning
natural language processing
sign character detection
sign language
computer vision
Yolov4-Tiny
Online Access:https://www.mdpi.com/2076-3417/13/9/5219

Internet

https://www.mdpi.com/2076-3417/13/9/5219

Similar Items