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

Electroluminescence (EL) imaging is a useful modality for the inspection of photovoltaic (PV)
modules. EL images provide high spatial resolution, which makes it possible to detect even …

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 …

This paper presents an end-to-end neural network system to identify writers through
handwritten word images, which jointly integrates global-context information and a …

Writer identification based on a small amount of text is a challenging problem. In this paper,
we propose a new benchmark study for writer identification based on word or text block …

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

This paper presents a systematic literature review of image datasets for document image
analysis, focusing on historical documents, such as handwritten manuscripts and early …

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 …

Data augmentation is typically used by supervised feature learning approaches for offline
writer identification, but such approaches require a mass of additional training data and …

The ICDAR 2017 Competition on Historical Document Writer Identification is dedicated to
record the most recent advances made in the field of writer identification. The goal of the …