Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...

Arabic handwriting recognition presents a unique challenge due to the inherent intricacies of the script, including its cursive nature, overlapping characters, and significant variability in ...

Handwritten Text Recognition (HTR) has undergone a transformative evolution with the advent of neural network architectures. These approaches address the inherent variability of individual handwriting ...