In recent years, along with the extraordinary diffusion of the Internet and a growing need for
personal verification in many daily applications, automatic signature verification is being …

In the information and communication personal verification is a crucial aspect. Among the
different means for personal verification, handwritten signature plays a fundamental role …

With the advancement of computer and communication technology, the tools used for
management decisions have undergone a gigantic change. Finding the more effective …

Automatic biometrics recognition techniques are increasingly important in corporate and
public security systems and have increased in methods due to rapid field development. This …

The signature recognition is a difficult process as it requires several phases. A failure in a
phase will significantly reduce the recognition accuracy. Artificial Neural Network (ANN) …

Over the last decade or so, we have witnessed neural networks come of age. The idea of
learning to solve complex pattern recognition problems using an intelligent data-driven …

The aim of signature recognition is to recognize name of author of the signature it is a
difficult work because scanned images are used for signature recognition. Identifying …

A survey of the principal schemes in the literature suggested that a new way of addressing
the problem of signature recognition be formulated in order to find a satisfactory solution for …

In this work, multilayer perceptron (MLP) has been trained by differential evolution algorithm
(DEA) and the performance of the neural network has been analyzed by using high …

Movement disorders associated with Essential Tremor (ET) and Parkinson's disease (PD)
can negatively impact use of the upper limb for many precision tasks, including handwriting …