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.

Détails bibliographiques
Auteurs principaux:	Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Autres auteurs:	Khondaker, Ms. Arnisha
Format:	Thèse
Langue:	English
Publié:	Brac University 2023
Sujets:	Bangladeshi Sign Language(BDSL) Deep Learning Convolutional Neural Network Image Processing Image Classification Machine Learning
Accès en ligne:	http://hdl.handle.net/10361/17893

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