Freeform handwriting authentication verifies a person's identity from their writing style and
habits in messy handwriting data. This technique has gained widespread attention in recent …

In current classification tasks, an important method to improve accuracy is to pre-train the
model using a large-scale domain-specific dataset. However, many tasks such as writer …

Writing is a commonplace activity that individuals partake in regularly. However, the
implications behind it are often overlooked. When we write, various psychological factors …

Handwriting is a biometric behavioral characteristic with evident individual distinctiveness.
With the rise of the deep learning trend and demands for forensic identification, handwriting …

In the last decade, automatic writer identification using a convolutional neural network
(CNN) has been well studied. For further performance improvement of the writer …

The field of writer identification, a crucial aspect of document analysis, has undergone a
significant evolution through the incorporation of deep learning models. This paper presents …

This research paper presents a convolutional neural network (CNN) model for identifying
handwritten Urdu characters. A dataset of 38 fundamental Urdu characters from 100 different …

Purpose: This research presents an application-oriented approach for develo** machine
learning models that consider the trade-off between model accuracy, processing speed, and …

The Nastaliq script's calligraphic and cursive features—where letter forms change based on
where they appear in a word—make Urdu handwriting recognition a challenging process …