CNN for handwritten arabic digits recognition based on LeNet-5
A El-Sawy, H El-Bakry, M Loey - … Intelligent Systems and Informatics 2016 2, 2017 - Springer
In recent years, handwritten digits recognition has been an important area due to its
applications in several fields. This work is focusing on the recognition part of handwritten …
applications in several fields. This work is focusing on the recognition part of handwritten …
Threshold center-symmetric local binary convolutional neural networks for bilingual handwritten digit recognition
E Al-wajih, R Ghazali - Knowledge-Based Systems, 2023 - Elsevier
The writing style of the same writer varies from instance to instance in Arabic and English
handwritten digit recognition, making handwritten digit recognition challenging. Currently …
handwritten digit recognition, making handwritten digit recognition challenging. Currently …
Handwritten Hindi digits recognition using convolutional neural network with RMSprop optimization
An efficient handwritten Hindi numeral digit recognition structure based on Convolutional
Neural Network (CNN) with RMSprop optimization technique is present in this paper …
Neural Network (CNN) with RMSprop optimization technique is present in this paper …
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 …
A recognition model for handwritten Persian/Arabic numbers based on optimized deep convolutional neural network
Recently, artificial intelligence-based applications are universally acknowledged. Digit
recognition, particularly Persian/Arabic handwritten digits, has many applications in today's …
recognition, particularly Persian/Arabic handwritten digits, has many applications in today's …
Multi-Language Handwritten Digits Recognition based on Novel Structural Features.
Automated handwritten script recognition is an important task for several applications. In this
article, a multi-language handwritten numeral recognition system is proposed using novel …
article, a multi-language handwritten numeral recognition system is proposed using novel …
A study of moment based features on handwritten digit recognition
Handwritten digit recognition plays a significant role in many user authentication
applications in the modern world. As the handwritten digits are not of the same size …
applications in the modern world. As the handwritten digits are not of the same size …
Automatic cnn-based Arabic numeral spotting and handwritten digit recognition by using deep transfer learning in Ottoman population registers
YS Can, ME Kabadayı - Applied Sciences, 2020 - mdpi.com
Historical manuscripts and archival documentation are handwritten texts which are the
backbone sources for historical inquiry. Recent developments in the digital humanities field …
backbone sources for historical inquiry. Recent developments in the digital humanities field …
Design and analysis for early warning of rotor UAV based on data-driven DBN
The unmanned aerial vehicle (UAV), which is a typical multi-sensor closed-loop flight control
system, has the properties of multivariable, time-varying, strong coupling, and nonlinearity …
system, has the properties of multivariable, time-varying, strong coupling, and nonlinearity …
Contribution on Arabic handwriting recognition using deep neural network
Z Noubigh, A Mezghani, M Kherallah - … Systems (HIS 2019) held in Bhopal …, 2021 - Springer
Arabic handwriting recognition is considered among the most important and challenging
recognition research subjects due to the cursive nature of writing and the similarities …
recognition research subjects due to the cursive nature of writing and the similarities …