In recent years, an enormous amount of research has been carried out on support vector
machines (SVMs) and their application in several fields of science. SVMs are one of the …

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

With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …

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 …

Deep Convolutional Neural Networks (CNN) have shown great success in supervised
classification tasks such as character classification or dating. Deep learning methods …

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analysis, focusing on historical documents, such as handwritten manuscripts and early …

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 …

Offline handwritten signature verification is one of the most prevalent and prominent
biometric methods in many application fields. Siamese neural network, which can extract …

In this article, we first propose a novel secret key update scheme only with a single support
vector machine (SVM). To achieve robust and efficient key management for secure …