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SVD-based signature verification technique using data glove

Kamel , Nidal and Sayeed , S (2008) SVD-based signature verification technique using data glove. [Citation Index Journal]

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Abstract

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 rth principal subspace, the authenticity can then be obtained by calculating the angles between the different subspaces. The SVD-signature verification technique is tested with large number of authentic and forged signatures, showing remarkable level of accuracy in finding the similarities between genuine samples as well as those differentiated between genuine-forgery trials. © 2008 World Scientific Publishing Company.

Item Type:Citation Index Journal
Uncontrolled Keywords:Authentication; Motion estimation; Verification; Data gloves; Glove data matrix; Online signature verification; Singular value decomposition
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:305
Deposited By: Assoc Prof Dr Nidal Kamel
Deposited On:03 Mar 2010 01:20
Last Modified:19 Jan 2017 08:26

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