The paper analytically reviews the methods and algorithms for solving problems arising in
the development of writer identification offline systems. The main applied problems that are …

Handwriting has remained one of the most frequently occurring patterns that we come
across in everyday life. Handwriting offers a number of interesting pattern classification …

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 …

The expertise to quickly and non-invasively determine a subject's emotional state can
contribute to a milestone in research on emotionally intelligent computing systems. The …

We propose the first non-invasive three-layer architecture in literature based on neural
networks that aims to determine the Big Five personality traits of an individual by analyzing …

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 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 …

Detection of gender from handwriting of an individual presents an interesting research
problem with applications in forensic document examination, writer identification and …

The classification of different age groups, such as adult and child, based on handwriting is
very important due to its various applications in many different fields. In forensics …