A Hybrid Model for Arabic Script Recognition Based on CNN-CBAM and BLSTM

A Hybrid Model for Arabic Script Recognition Based on CNN-CBAM and BLSTM

Handwriting recognition, particularly for Arabic, is a very challenging field of research due to various complex factors such as the presence of ligatures, cursive writing style, slant variations, diacritics, overlapping, and other difficult problems. This paper specifically addresses the task of re...

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Bibliographic Details
Main Authors: MOHAMED DAHBALI, Noureddine Aboutabit, Nidal Lamghari
Format: Article
Language:English
Published: Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2024-04-01
Series:Jordanian Journal of Computers and Information Technology
Subjects:
handwriting recognition
arabic database
data augmentation
cnn
blstm
Online Access:https://www.jjcit.org/?mno=193066

Internet

https://www.jjcit.org/?mno=193066

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