Arabic Handwritten Digit Recognition Based on Restricted Boltzmann Machine and Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Arabic Handwritten Digit Recognition Based on Restricted Boltzmann Machine and Convolutional Neural Networks

Published:2017-11-09 Issue:4 Volume:8 Page:142
ISSN:2078-2489
Container-title:Information
language:en
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Author:

Alani Ali

Publisher

MDPI AG

Subject

Information Systems

Link

http://www.mdpi.com/2078-2489/8/4/142/pdf

Reference46 articles.

1. A novel hybrid CNN–SVM classifier for recognizing handwritten digits

2. Handwritten Indian numerals recognition system using probabilistic neural networks

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1. CNN-based Methods for Offline Arabic Handwriting Recognition: A Review;Neural Processing Letters;2024-03-19

2. KurdSet Handwritten Digits Recognition Based on Different Convolutional Neural Networks Models;TEM Journal;2024-02-27

3. CNN-optimized text recognition with binary embeddings for Arabic expiry date recognition;Journal of Electrical Systems and Information Technology;2024-02-21

4. A Comprehensive Review of Convolutional Neural Networks for Defect Detection in Industrial Applications;IEEE Access;2024

5. Pashto Language Handwritten Numeral Classification Using Convolutional Neural Networks;Lecture Notes in Networks and Systems;2024

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