Intelligent handwritten recognition using hybrid CNN architectures based-SVM classifier with dropout-Reference-Cited by-同舟云学术

Intelligent handwritten recognition using hybrid CNN architectures based-SVM classifier with dropout

Published:2021-02 Issue: Volume: Page:
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Ali Amani Ali Ahmed,Mallaiah Suresha

Publisher

Elsevier BV

Subject

General Computer Science

Reference34 articles.

1. Use an efficient neural network to improve the Arabic handwriting recognition;Al Hamad,2013

2. A novel approach to correction of a skew at document level using an arabic script;Ali;International Journal of Computer Science and Information Technologies.,2017

3. A new design based-fusion of features to recognize Arabic handwritten characters;Ali;International Journal of Engineering and Advanced Technology (IJEAT),2019

4. Efficient Algorithms for Text Lines and Words Segmentation for Recognition of Arabic Handwritten Script;Ali,2019

5. Arabic handwritten character recognition using machine learning approaches;Ali,2019

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