Automatic image analysis is a crucial component of many intelligent systems designed for
high-level understanding of documents. Most document image understanding systems are …

Abstract To date, Artificial Intelligence systems for handwriting and drawing analysis have
primarily targeted domains such as writer identification and sketch recognition. Conversely …

Documents are stored in a digital form across several organizations. Printing this amount of
data and placing it into folders instead of storing digitally is against the practical, economical …

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 …

There are two types of information in each handwritten word image: explicit information
which can be easily read or derived directly, such as lexical content or word length, and …

The Dead Sea Scrolls are tangible evidence of the Bible's ancient scribal culture. This study
takes an innovative approach to palaeography—the study of ancient handwriting—as a new …

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historical document analysis.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

Text detection in low light natural scene images is challenging due to poor image quality
and low contrast. Unlike most existing methods that focus on well-lit (normally daylight) …