EkushNet: Using Convolutional Neural Network for Bangla Handwritten Recognition-Reference-Cited by-同舟云学术

EkushNet: Using Convolutional Neural Network for Bangla Handwritten Recognition

Published:2018 Issue: Volume:143 Page:603-610
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Rabby AKM Shahariar Azad,Haque Sadeka,Abujar Sheikh,Hossain Syed Akhter

Publisher

Elsevier BV

Subject

General Engineering

Reference28 articles.

1. Ekush: A multipurpose and multitype comprehensive database for Online Off-line Bangla Handwritten Characters, Website: https://github.com/shahariarrabby/Ekush. Last access:20 Jun. 18

2. Cmaterdb1: a database of unconstrained handwritten Bangla and Bangla–English mixed script document image;Sarkar;International Journal on Document Analysis and Recognition (IJDAR),2012

3. Alom, Md. Zahangir & Sidike, Paheding & M. Taha, Tarek & Asari, Vijayan. (2017). Handwritten Bangla Digit Recognition Using Deep Learning.

4. Bangla Handwritten Character Recognition using Convolutional Neural Network, I. J. Image;M. Rahman;Graphics and Signal Processing,2015

5. Handwritten Isolated Bangla Compound Character Recognition: a new benchmark using a novel deep learning approach;Roy;Pattern Recognition Letters, Elsevier,2017

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