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.

Xehetasun bibliografikoak
Egile Nagusiak:	Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Beste egile batzuk:	Khondaker, Ms. Arnisha
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2023
Gaiak:	Bangladeshi Sign Language(BDSL) Deep Learning Convolutional Neural Network Image Processing Image Classification Machine Learning
Sarrera elektronikoa:	http://hdl.handle.net/10361/17893

Antzeko izenburuak

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Sign Languages
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