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Handwritten Bangla Digit Recognition Using Deep Learning: Alomm Udayton EDU PDF

12 Pages·2021·English
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by ['Dipayan Bhadra']| 2021| 12 pages| English

About Handwritten Bangla Digit Recognition Using Deep Learning: Alomm Udayton EDU

This document discusses using deep learning techniques for handwritten Bangla digit recognition. It introduces the challenges of recognizing handwritten characters that vary widely between writers. The paper then proposes using deep neural networks like deep belief networks, convolutional neural networks with dropout and Gabor/Gaussian filters for Bangla digit recognition. The techniques are evaluated on a publicly available Bangla numeral database, achieving 98.78% recognition rate using CNN with Gabor features and dropout, outperforming previous methods. This is the first research on handwritten Bangla digit recognition using deep learning.

Detailed Information

Author:['Dipayan Bhadra']
Publication Year:2021
Pages:12
Language:English
Format:PDF
Price:FREE
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