Comparative Study on Deep Convolution Neural Networks DCNN-Based Offline Arabic Handwriting Recognition

Comparative Study on Deep Convolution Neural Networks DCNN-Based Offline Arabic Handwriting Recognition

Recently, deep learning techniques demonstrated efficiency in building better performing machine learning models which are required in the field of offline Arabic handwriting recognition. Our ancient civilizations presented valuable handwritten manuscripts that need to be documented digitally. If we...

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Bibliographic Details
Main Authors: Taraggy M. Ghanim, Mahmoud I. Khalil, Hazem M. Abbas
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Agglomerative hierarchical clustering
deep convolutional neural network
Kullback-Leibler divergence
offline arabic handwritting recognition
pyramid histogram of gradients
Online Access:https://ieeexplore.ieee.org/document/9093056/

Internet

https://ieeexplore.ieee.org/document/9093056/

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