Handwriting is one of the most common types of questioned writing encountered and
frequently attracts the attention in litigation. Contrary to the physiological characteristics …

In this article, we perform a review of the state-of-the-art of hybrid machine learning in
medical imaging. We start with a short summary of the general developments of the past in …

Global pooling layers are an essential part of Convolutional Neural Networks (CNN). They
are used to aggregate activations of spatial locations to produce a fixed-size vector in …

Writer identification from offline images of handwriting is an interesting pattern classification
problem that has been investigated for many decades now. Despite significant research …

Identifying and verifying the identity of people based on scanned images of handwritten
documents is an applicable biometric modality with applications in forensic and historic …

Identification of a person from his writing is one of the challenging problems; however, it is
not new. No one can repudiate its applications in a number of domains, such as forensic …

Offline writer identification plays an important role in forensic document examination and
historical document analysis. Today, challenges still exist in historical writer identification …

Text-to-Image synthesis is the task of generating an image according to a specific text
description. Generative Adversarial Networks have been considered the standard method …

Writer identification from handwriting samples has been an interesting research problem for
the pattern recognition community in general and handwriting recognition community in …

In this work, we explore massive pre-training on synthetic word images for enhancing the
performance on four benchmark downstream handwriting analysis tasks. To this end, we …