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.

Detalhes bibliográficos
Main Authors:	Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Outros Autores:	Khondaker, Ms. Arnisha
Formato:	Thesis
Idioma:	English
Publicado em:	Brac University 2023
Assuntos:	Bangladeshi Sign Language(BDSL) Deep Learning Convolutional Neural Network Image Processing Image Classification Machine Learning
Acesso em linha:	http://hdl.handle.net/10361/17893

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