Automatic recognition of handwritten Arabic characters: a comprehensive review
The paper is a comprehensive review of the current research trends in the area of Arabic
language especially state-of-the-art approaches to highlight the current status of diverse …
language especially state-of-the-art approaches to highlight the current status of diverse …
Offline arabic handwriting recognition using deep machine learning: A review of recent advances
In pattern recognition, automatic handwriting recognition (AHWR) is an area of research that
has developed rapidly in the last few years. It can play a significant role in broad-spectrum of …
has developed rapidly in the last few years. It can play a significant role in broad-spectrum of …
Novel deep convolutional neural network-based contextual recognition of Arabic handwritten scripts
Offline Arabic Handwriting Recognition (OAHR) has recently become instrumental in the
areas of pattern recognition and image processing due to its application in several fields …
areas of pattern recognition and image processing due to its application in several fields …
Ensemble deep transfer learning model for Arabic (Indian) handwritten digit recognition
Recognising handwritten digits or characters is a challenging task due to noisy data that
results from different writing styles. Numerous applications essentially motivate to build an …
results from different writing styles. Numerous applications essentially motivate to build an …
Arabic (Indian) digit handwritten recognition using recurrent transfer deep architecture
RS Alkhawaldeh - Soft Computing, 2021 - Springer
The rapid volume of digit texts and images motivates researchers to build solid and efficient
prediction models to recognize such media. The Arabic language is considered one of the …
prediction models to recognize such media. The Arabic language is considered one of the …
[PDF][PDF] Deformed character recognition using convolutional neural networks
NS Rani, N Chandan, AS Jain… - International Journal of …, 2018 - researchgate.net
Realization of high accuracies towards south Indian character recognition is one the truly
interesting research challenge. In this paper, our investigation is focused on recognition of …
interesting research challenge. In this paper, our investigation is focused on recognition of …
Huruf: An application for arabic handwritten character recognition using deep learning
Handwriting Recognition has been a field of great interest in the Artificial Intelligence
domain. Due to its broad use cases in real life, research has been conducted widely on it …
domain. Due to its broad use cases in real life, research has been conducted widely on it …
Combining convolutional neural networks with SVM classifier for recognizing Persian and Arabic handwritten words
S Golzari, A Khalili, R Sabzi - Multimedia Tools and Applications, 2022 - Springer
Abstract Convolutional Neural Networks (CNNs) show state-of-the-art performance in
handwritten word recognition. Existing CNNs operate on one language and their accuracy …
handwritten word recognition. Existing CNNs operate on one language and their accuracy …
Convolutional ensembles for arabic handwritten character and digit recognition
IP de Sousa - PeerJ Computer Science, 2018 - peerj.com
A learning algorithm is proposed for the task of Arabic Handwritten Character and Digit
recognition. The architecture consists on an ensemble of different Convolutional Neural …
recognition. The architecture consists on an ensemble of different Convolutional Neural …
An enhanced LBP-based technique with various size of sliding window approach for handwritten Arabic digit recognition
Many variations of local binary pattern (LBP) were proposed to enhance its performance,
including uniform local binary pattern (ULBP), center-symmetric local binary patterns (CS …
including uniform local binary pattern (ULBP), center-symmetric local binary patterns (CS …