A survey of OCR in Arabic language: applications, techniques, and challenges

S Faizullah, MS Ayub, S Hussain, MA Khan - Applied Sciences, 2023 - mdpi.com
Optical character recognition (OCR) is the process of extracting handwritten or printed text
from a scanned or printed image and converting it to a machine-readable form for further …

Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing

T Herzog, M Brandt, A Trinchi, A Sola… - Journal of Intelligent …, 2023 - Springer
Over the past several decades, metal Additive Manufacturing (AM) has transitioned from a
rapid prototyping method to a viable manufacturing tool. AM technologies can produce parts …

Composition of hybrid deep learning model and feature optimization for intrusion detection system

A Henry, S Gautam, S Khanna, K Rabie, T Shongwe… - Sensors, 2023 - mdpi.com
Recently, with the massive growth of IoT devices, the attack surfaces have also intensified.
Thus, cybersecurity has become a critical component to protect organizational boundaries …

Disease prediction based retinal segmentation using bi-directional ConvLSTMU-Net

BMS Rani, VR Ratna, VP Srinivasan… - Journal of Ambient …, 2021 - Springer
Deep learning (DL) technology has been the best way to execute class over the most recent
couple of years. These techniques were extended more specifically to retinal blood vessel …

An improved faster-RCNN model for handwritten character recognition

S Albahli, M Nawaz, A Javed, A Irtaza - Arabian Journal for Science and …, 2021 - Springer
Existing techniques for hand-written digit recognition (HDR) rely heavily on the hand-coded
key points and requires prior knowledge. Training an efficient HDR network with these …

Automated bank cheque verification using image processing and deep learning methods

P Agrawal, D Chaudhary, V Madaan… - Multimedia Tools and …, 2021 - Springer
Automated bank cheque verification using image processing is an attempt to complement
the present cheque truncation system, as well as to provide an alternate methodology for the …

DeepNetDevanagari: a deep learning model for Devanagari ancient character recognition

SR Narang, M Kumar, MK Jindal - Multimedia Tools and Applications, 2021 - Springer
Devanagari script is the most widely used script in India and other Asian countries. There is
a rich collection of ancient Devanagari manuscripts, which is a wealth of knowledge. To …

Quantum ReLU activation for convolutional neural networks to improve diagnosis of Parkinson's disease and COVID-19

L Parisi, D Neagu, R Ma, F Campean - Expert Systems with Applications, 2022 - Elsevier
This study introduces a quantum-inspired computational paradigm to address the
unresolved problem of Convolutional Neural Networks (CNNs) using the Rectified Linear …

Convolutional-neural-network-based handwritten character recognition: an approach with massive multisource data

N Saqib, KF Haque, VP Yanambaka, A Abdelgawad - Algorithms, 2022 - mdpi.com
Neural networks have made big strides in image classification. Convolutional neural
networks (CNN) work successfully to run neural networks on direct images. Handwritten …

Deblurgan-cnn: effective image denoising and recognition for noisy handwritten characters

S Gonwirat, O Surinta - IEEE Access, 2022 - ieeexplore.ieee.org
Many problems can reduce handwritten character recognition performance, such as image
degradation, light conditions, low-resolution images, and even the quality of the capture …