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.

Opis bibliograficzny
Główni autorzy:	Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Kolejni autorzy:	Khondaker, Ms. Arnisha
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2023
Hasła przedmiotowe:	Bangladeshi Sign Language(BDSL) Deep Learning Convolutional Neural Network Image Processing Image Classification Machine Learning
Dostęp online:	http://hdl.handle.net/10361/17893

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