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| A Sensor-Based Approach for Dynamic Signature Verification using Data Glove
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Source |
Signal Processing: An International Journal (SPIJ) |
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Table of Contents |
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Volume: 2 Issue: 1 |
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Pages: 1-10 |
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Publication
Date: February 2008 |
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ISSN
(Online): 1985-2339 |
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Pages |
1 - 10 |
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Author(s) |
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Published
Date |
30-02-2008 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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| 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. |
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http://www.5dt.com/products/pdataglove14.html
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| Shohel Sayeed : Colleagues
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| Nidal S. Kamel : Colleagues
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| Rosli Besar : Colleagues
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