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.

Dades bibliogràfiques
Autors principals:	Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Altres autors:	Khondaker, Ms. Arnisha
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2023
Matèries:	Bangladeshi Sign Language(BDSL) Deep Learning Convolutional Neural Network Image Processing Image Classification Machine Learning
Accés en línia:	http://hdl.handle.net/10361/17893

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