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.

Detalles Bibliográficos
Main Authors: Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Outros autores: Khondaker, Ms. Arnisha
Formato: Thesis
Idioma:English
Publicado: Brac University 2023
Subjects:
Bangladeshi Sign Language(BDSL)
Deep Learning
Convolutional Neural Network
Image Processing
Image Classification
Machine Learning
Acceso en liña:http://hdl.handle.net/10361/17893

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