Handwriting Image Classification for Automated Diagnosis of Learning Disabilities: A Review on Deep Learning Models and Future Directions
This study reviews deep learning models used in handwriting image classification for the automated diagnosis of learning disabilities. By addressing handwriting diversity and misclassification challenges, two models were highlighted: Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs...