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.

Podrobná bibliografie
Hlavní autoři:	Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Další autoři:	Khondaker, Ms. Arnisha
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2023
Témata:	Bangladeshi Sign Language(BDSL) Deep Learning Convolutional Neural Network Image Processing Image Classification Machine Learning
On-line přístup:	http://hdl.handle.net/10361/17893

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