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

Motion detection can play an important role in many vision tasks. Yet image motion can arise
from" uninteresting" events as well as interesting ones. In this paper, salient motion is …

This paper presents a system to predict gender of individuals from offline handwriting
samples. The technique relies on extracting a set of textural features from handwriting …

Classification of gender from images of handwriting is an interesting research problem in
computerized analysis of handwriting. The correlation between handwriting and gender of …

Handwriting recognition is used for the prediction of various demographic traits such as age,
gender, nationality, etc. Out of all the applications gender prediction is mainly admired topic …

This work focuses on automatic gender and age prediction tasks from handwritten
documents. This problem is of interest in a variety of fields, such as historical document …

Gender detection from handwritten documents is a crucial research area in many disciplines
such as psychology, pyelography, graphology, and forensic analysis. Furthermore, this task …

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

Advantageous property of behavioural signals (eg handwriting), in contrast to morphological
ones (eg iris, fingerprint, hand geometry), is the possibility to ask a user to perform many …

This article presents a dataset of hyperspectral images of handwriting samples collected
from 54 individuals. The purpose of the presented dataset is to further explore the use of …