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A Sensor-Based Approach for Dynamic Signature Verification using Data Glove

Nidal S., Kamel (2009) A Sensor-Based Approach for Dynamic Signature Verification 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 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.

Item Type:Citation Index Journal
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Research Institutes > Institute for Health Analytics
ID Code:4484
Deposited By: Assoc Prof Dr Nidal Kamel
Deposited On:08 Mar 2011 13:20
Last Modified:19 Jan 2017 08:25

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