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.

Bibliografiske detaljer
Main Authors: Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Andre forfattere: Khondaker, Ms. Arnisha
Format: Thesis
Sprog:English
Udgivet: Brac University 2023
Fag:
Bangladeshi Sign Language(BDSL)
Deep Learning
Convolutional Neural Network
Image Processing
Image Classification
Machine Learning
Online adgang:http://hdl.handle.net/10361/17893

Internet

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

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