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
Autores principales:	Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Otros Autores:	Khondaker, Ms. Arnisha
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2023
Materias:	Bangladeshi Sign Language(BDSL) Deep Learning Convolutional Neural Network Image Processing Image Classification Machine Learning
Acceso en línea:	http://hdl.handle.net/10361/17893

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