In this paper we present the state of the art in writer identification and verification of
handwritten text. In addition, a special and extensive survey of writer identification and …

In network security, intrusion detection plays an important role. Feature subsets obtained by
different feature selection methods will lead to different accuracy of intrusion detection …

In this paper, we present an approach for writer identification carried out using off-line Arabic
handwriting. Our proposed method is based on the combination of global and structural …

Usually, a writer identification system based on the convolutional neural network (CNN) is
designed as a closed system, which is composed of many convolutional layers trained often …

This article addresses writer identification of handwritten Arabic text. Several types of
structural and statistical features were extracted from Arabic handwriting text. A novel …

In this paper, we present an approach for writer identification using off-line Arabic
handwriting. The proposed method explores the handwriting texture analysis by 2D discrete …

The power consumption of High Performance Computing (HPC) systems is an increasing
concern as large-scale systems grow in size and, consequently, consume more energy. In …

In this study we illustrate a statistical approach to questioned document examination.
Specifically, we consider the construction of three classifiers that predict the writer of a …

The identification of a person on the basis of scanned images of handwriting is a useful
biometric technique with application in forensic document analysis. This study describes the …

Newly, the effectiveness of Gradient features has been verified for writer identification of
Latin texts. However, no researches on the performance of these features on Persian …