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.

Библиографические подробности
Главные авторы:	Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Другие авторы:	Khondaker, Ms. Arnisha
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2023
Предметы:	Bangladeshi Sign Language(BDSL) Deep Learning Convolutional Neural Network Image Processing Image Classification Machine Learning
Online-ссылка:	http://hdl.handle.net/10361/17893

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