Abushariah, Ahmad A. M. and Gunawan, Teddy Surya and Khalifa, Othman Omran and Chebil, Jalel
(2011)
Signature recognition using artificial neural network.
In:
Human Behaviour Recognition, Identification and Computer Interaction.
IIUM Press, Kuala Lumpur, pp. 255-262.
ISBN 978-967-418-156-7
Abstract
Nowadays, there are many applications required the user to confirm his identity. It might be done by asking a secret question that the user will answer to get into that application, and it might be a password or a pin code, face, eye, fingerprint or signature. Automatic signature
verification is an active field of research with many practical applications. Automatic handwritten signature verification is divided into two approaches: off-line and on-line. In the off-line signature verification approach, the data of the signature is obtained from a static
image utilizing a scanning device [I). For our application, off-line approach will be utilized.Neural Networks (NN) also known as Artificial Neural Networks (ANN) belong to the
artificial intelligence approaches, which attempt to mechanize the recognition procedure according to the way a person applies intelligence in visualizing and analyzing[2]. Neural Networks' structure is inspired by biological models of the nervous system proposed as a model of the human brain's activities aiming to mimic certain processing capabilities of the human brain.
Actions (login required)
 |
View Item |
![[img]](http://irep.iium.edu.my/style/images/fileicons/application_pdf.png)
Download Statistics
Download Statistics