Quranic Optical Text Recognition Using Deep Learning Models

Quranic Optical Text Recognition Using Deep Learning Models

A Quranic optical character recognition (OCR) system based on convolutional neural network (CNN) followed by recurrent neural network (RNN) is introduced in this work. Six deep learning models are built to study the effect of different representations of the input and output, and the accuracy and pe...

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Bibliographic Details
Main Authors: Masnizah Mohd, Faizan Qamar, Idris Al-Sheikh, Ramzi Salah
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Arabic
Quranic text
deep learning
gated recurrent unit
long short-term memory
optical character recognition
Online Access:https://ieeexplore.ieee.org/document/9370100/

Internet

https://ieeexplore.ieee.org/document/9370100/

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