Virtual reality based dynamic signature verification using data glove

N.S., Kamel and S., Sayeed and R., Besar (2007) Virtual reality based dynamic signature verification using data glove. In: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007, 25 November 2007 through 28 November 2007, Kuala Lumpur.

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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 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 differenced between genuine-forgery trials. ©2007 IEEE.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Animation; Virtual reality; Data glove; Data matrixes; Dynamic signature verifications; Motion animations; Motion captures; Multiple degrees of freedoms; New dimensions; Signature verification; Singular vectors; Stringent requirements; Sub spaces; Singular value decomposition
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE: Departments > Electrical & Electronic Engineering
Depositing User: Assoc Prof Dr Nidal Kamel
Date Deposited: 04 Mar 2010 06:26
Last Modified: 19 Jan 2017 08:27
URI: http://scholars.utp.edu.my/id/eprint/327

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