We describe how oriented Basic Image Feature Columns (oBIF Columns) can be used for
writer identification and how this texture-based scheme can be enhanced by encoding a …

Today, graphology is seen as an experimental field of science that is dedicated to suggest
ideas about diseases, profession choices, mood and characteristics of a person by …

We applied t-distributed stochastic neighbor embedding (t-SNE) to visualize Urdu
handwritten numerals (or digits). The data set used consists of 28× 28 images of handwritten …

Since the Forensic Document Examiners (FDE) use inscriptions and different markings as
clues to identify a writer, this paper presents an approach to writer identification based on …

Current paper describes the use of a feature selection technique to reduce the number of
features while the goodness set is selected on a framework for forensic handwriting …

Forensic Odontology is the discipline of identifying, based on the recognition of certain
features present in each person's dental structure. This area of forensic identification plays a …

This work presents a baseline system to automatic handwriting identification based only on
graphometric features. Initially a set composed of 12 features was presented and its …

This paper describes an approach to writer identification based on graphometric features.
These features are used by Forensic Document Examiners (FDE) which realize their …

Current paper describes a study of a feature set extracted from forensic letters and used to
writer identification. Forensic letters are documents devoted to collect the handwriting style …

In the context of forensic and criminalistics studies the problem of identifying the author of a
manuscript is generally expressed as a supervised-classification problem. In this paper a …