An improved VGG16 model for pneumonia image classification
ZP Jiang, YY Liu, ZE Shao, KW Huang - Applied Sciences, 2021 - mdpi.com
Image recognition has been applied to many fields, but it is relatively rarely applied to
medical images. Recent significant deep learning progress for image recognition has raised …
medical images. Recent significant deep learning progress for image recognition has raised …
Arabic handwritten recognition using deep learning: A survey
N Alrobah, S Albahli - Arabian Journal for Science and Engineering, 2022 - Springer
In recent times, many research projects and experiments target machines that automatically
recognize handwritten characters, but most of them are done in Latin. Recognizing …
recognize handwritten characters, but most of them are done in Latin. Recognizing …
[HTML][HTML] Interpol questioned documents review 2019–2022
M Deviterne-Lapeyre, S Ibrahim - Forensic Science International: Synergy, 2023 - Elsevier
The goal of this paper is to provide a comprehensive review of the technical advances and
general areas of research in the field of Forensic Handwriting/Forensic Document …
general areas of research in the field of Forensic Handwriting/Forensic Document …
Arabic handwritten character recognition based on convolution neural networks and support vector machine
Recognition of Arabic characters is essential for natural language processing and computer
vision fields. The need to recognize and classify the handwritten Arabic letters and …
vision fields. The need to recognize and classify the handwritten Arabic letters and …
Pattern separation network based on the hippocampus activity for handwritten recognition
N Modhej, A Bastanfard, M Teshnehlab… - IEEE …, 2020 - ieeexplore.ieee.org
Reaching high accuracy in handwritten character recognition is an essential challenge since
it is widely used in many fields such as signature analysis and forgery detection. Recently …
it is widely used in many fields such as signature analysis and forgery detection. Recently …
Medical prescription recognition using machine learning
E Hassan, H Tarek, M Hazem… - 2021 IEEE 11th …, 2021 - ieeexplore.ieee.org
Admittedly, because of how busy doctors are nowadays, they tend to scribble unreadable
prescribed medicines which leads to the problem of misinterpreting medicine names …
prescribed medicines which leads to the problem of misinterpreting medicine names …
Generative adversarial network based adaptive data augmentation for handwritten Arabic text recognition
Training deep learning based handwritten text recognition systems needs a lot of data in
terms of text images and their corresponding annotations. One way to deal with this issue is …
terms of text images and their corresponding annotations. One way to deal with this issue is …
uTHCD: a new benchmarking for Tamil handwritten OCR
N Shaffi, F Hajamohideen - IEEE Access, 2021 - ieeexplore.ieee.org
The robustness of a typical Handwritten character recognition system relies on the
availability of comprehensive supervised data samples. There has been considerable work …
availability of comprehensive supervised data samples. There has been considerable work …
Deep learning-based child handwritten Arabic character recognition and handwriting discrimination
MS Alwagdani, ES Jaha - Sensors, 2023 - mdpi.com
Handwritten Arabic character recognition has received increasing research interest in recent
years. However, as of yet, the majority of the existing handwriting recognition systems have …
years. However, as of yet, the majority of the existing handwriting recognition systems have …
Tilpdeep: a lightweight deep learning technique for handwritten transformed invariant Pashto text recognition
Pashto is the native language of Afghanistan and one of Pakistan's most essential and
regional languages. The Pashto language has a vast number of native speakers who live in …
regional languages. The Pashto language has a vast number of native speakers who live in …