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.

Dettagli Bibliografici
Autori principali:	Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Altri autori:	Khondaker, Ms. Arnisha
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	Bangladeshi Sign Language(BDSL) Deep Learning Convolutional Neural Network Image Processing Image Classification Machine Learning
Accesso online:	http://hdl.handle.net/10361/17893

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