A novel lightweight CNN approach for Bangladeshi sign language gesture recognition

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliographic Details
Main Authors: Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Other Authors: Khondaker, Ms. Arnisha
Format: Thesis
Language:English
Published: Brac University 2023
Subjects:
Bangladeshi Sign Language(BDSL)
Deep Learning
Convolutional Neural Network
Image Processing
Image Classification
Machine Learning
Online Access:http://hdl.handle.net/10361/17893

Internet

http://hdl.handle.net/10361/17893

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