Isolated bangla handwritten character & digit recognition using convolutional neural network
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
| Główni autorzy: | Alif, Mujadded Al Rabbani, Ahmed, Sabbir, Aninda, Aleo, Das, Tanoy Kumar |
|---|---|
| Kolejni autorzy: | Mostakim, Moin |
| Format: | Praca dyplomowa |
| Język: | English |
| Wydane: |
BRAC University
2018
|
| Hasła przedmiotowe: | |
| Dostęp online: | http://hdl.handle.net/10361/8870 |
Podobne zapisy
-
Handwritten character recognition using neural network
od: Hussain, Shoumin Rafsun, i wsp.
Wydane: (2021) -
Bangali Handwritten characters classification using Deep Convolutional Neural Network
od: Sikder, Shihab Uddin, i wsp.
Wydane: (2022) -
Grouping of handwritten Bangla basic characters, numerals and vowel modifiers for multilayer classification
od: Reza, Khondker Nayef, i wsp.
Wydane: (2017) -
A Comparative study on Bengali handwritten character recognition and prediction using CNN
od: Abrar, Muntaqa, i wsp.
Wydane: (2021) -
A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition
od: Khan, Mohammad Meraj
Wydane: (2022)