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.

Bibliografische gegevens
Hoofdauteurs: Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed
Andere auteurs: Khondaker, Ms. Arnisha
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2023
Onderwerpen:
Bangladeshi Sign Language(BDSL)
Deep Learning
Convolutional Neural Network
Image Processing
Image Classification
Machine Learning
Online toegang:http://hdl.handle.net/10361/17893

Internet

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

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