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.

Bibliografski detalji
Glavni autori: Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Daljnji autori: Khondaker, Ms. Arnisha
Format: Disertacija
Jezik:English
Izdano: Brac University 2023
Teme:
Bangladeshi Sign Language(BDSL)
Deep Learning
Convolutional Neural Network
Image Processing
Image Classification
Machine Learning
Online pristup:http://hdl.handle.net/10361/17893

Internet

http://hdl.handle.net/10361/17893

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