A Sensor-Based Approach for Dynamic Signature Verification using Data Glove
Data glove is a new dimension in the field of virtual reality environments, initially designed to satisfy the stringent requirements of modern motion capture and animation professionals. In this paper we try to shift the implementation of data glove from motion animation towards signature verificat...
Saved in:
Main Author: | |
---|---|
Format: | Citation Index Journal |
Published: |
Computer Science Journals
2009
|
Subjects: | |
Online Access: | http://eprints.utp.edu.my/4484/1/SPIJ-2.pdf http://www.cscjournals.org/csc/description.php?JCode=SPIJ http://eprints.utp.edu.my/4484/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utp.eprints.4484 |
---|---|
record_format |
eprints |
spelling |
my.utp.eprints.44842017-01-19T08:25:53Z A Sensor-Based Approach for Dynamic Signature Verification using Data Glove Nidal S., Kamel TK Electrical engineering. Electronics Nuclear engineering Data glove is a new dimension in the field of virtual reality environments, initially designed to satisfy the stringent requirements of modern motion capture and animation professionals. In this paper we try to shift the implementation of data glove from motion animation towards signature verification problem, making use of the offered multiple degrees of freedom for each finger and for the hand as well.The proposed technique is based on the Singular Value Decomposition(SVD) in finding r singular vectors sensing the maximal energy of glove data matrix A, called principal subspace, and thus account for most of the variation in the original data, so the effective dimensionality of the data can be reduced. Having identified data glove signature through its r-th principal subspace, the authenticity is then can be obtained by calculating the angles between the different subspaces. The SVD-signature verification technique is tested with large number of authentic and forgery signatures and shows remarkable level of accuracy in finding the similarities between genuine samples as well as the differences between genuine-forgery trials. Computer Science Journals 2009 Citation Index Journal PeerReviewed application/pdf http://eprints.utp.edu.my/4484/1/SPIJ-2.pdf http://www.cscjournals.org/csc/description.php?JCode=SPIJ Nidal S., Kamel (2009) A Sensor-Based Approach for Dynamic Signature Verification using Data Glove. [Citation Index Journal] http://eprints.utp.edu.my/4484/ |
institution |
Universiti Teknologi Petronas |
building |
UTP Resource Centre |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Petronas |
content_source |
UTP Institutional Repository |
url_provider |
http://eprints.utp.edu.my/ |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Nidal S., Kamel A Sensor-Based Approach for Dynamic Signature Verification using Data Glove |
description |
Data glove is a new dimension in the field of virtual reality environments, initially designed to satisfy the stringent requirements of modern motion capture and
animation professionals. In this paper we try to shift the implementation of data glove from motion animation towards signature verification problem, making use of the offered multiple degrees of freedom for each finger and for the hand as well.The proposed technique is based on the Singular Value Decomposition(SVD) in finding r singular vectors sensing the maximal energy of glove data
matrix A, called principal subspace, and thus account for most of the variation in the original data, so the effective dimensionality of the data can be reduced.
Having identified data glove signature through its r-th principal subspace, the authenticity is then can be obtained by calculating the angles between the different subspaces. The SVD-signature verification technique is tested with large number of authentic and forgery signatures and shows remarkable level of accuracy in finding the similarities between genuine samples as well as the differences between genuine-forgery trials. |
format |
Citation Index Journal |
author |
Nidal S., Kamel |
author_facet |
Nidal S., Kamel |
author_sort |
Nidal S., Kamel |
title |
A Sensor-Based Approach for Dynamic Signature
Verification using Data Glove |
title_short |
A Sensor-Based Approach for Dynamic Signature
Verification using Data Glove |
title_full |
A Sensor-Based Approach for Dynamic Signature
Verification using Data Glove |
title_fullStr |
A Sensor-Based Approach for Dynamic Signature
Verification using Data Glove |
title_full_unstemmed |
A Sensor-Based Approach for Dynamic Signature
Verification using Data Glove |
title_sort |
sensor-based approach for dynamic signature
verification using data glove |
publisher |
Computer Science Journals |
publishDate |
2009 |
url |
http://eprints.utp.edu.my/4484/1/SPIJ-2.pdf http://www.cscjournals.org/csc/description.php?JCode=SPIJ http://eprints.utp.edu.my/4484/ |
_version_ |
1738655344607887360 |
score |
13.160551 |