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.
Κύριοι συγγραφείς: | Rahman, Aryan, Khan, Ahbab Ali, Shoumik, Tazwar Mohammed |
---|---|
Άλλοι συγγραφείς: | Khondaker, Ms. Arnisha |
Μορφή: | Thesis |
Γλώσσα: | English |
Έκδοση: |
Brac University
2023
|
Θέματα: | |
Διαθέσιμο Online: | http://hdl.handle.net/10361/17893 |
Παρόμοια τεκμήρια
-
Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
ανά: Dewanjee, Tanmoy, κ.ά.
Έκδοση: (2021) -
Bangla sign language interpretation using image processing
ανά: Arko, Fahmid Nasif, κ.ά.
Έκδοση: (2017) -
Bengali hand sign language recognition using convolutional neural networks
ανά: Rumi, Roisul Islam, κ.ά.
Έκδοση: (2019) -
Computer vision-based Bengali sign language to text generation
ανά: Tazalli, Tonjih, κ.ά.
Έκδοση: (2022) -
Road sign detection and translation in Bangla using image processing and machine learning
ανά: Islam, Khalid Amirul, κ.ά.
Έκδοση: (2019)