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Signature verification using data glove with prominent sensors

N.S., Kamel and S., Sayeed and R., Besar (2009) Signature verification using data glove with prominent sensors. In: 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009, 25 July 2009 through 26 July 2009, Kuala Lumpur.

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Abstract

In order to improve the security level, we have presented an innovative approach to hand 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 research, 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. Our proposed approach is tested in context of highly skilled forgeries with a large number of signature data sets and obtained a significant level of accuracy in signature verification with 2.22%, 2.5%, 2.8% and 2.37% of Equal Error Rates (EER) with 5-, 7-, 9-, and 14-sensor based data sets, respectively © 2009 IEEE.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Data glove; Equal error rate; Innovative approaches; Motion capture; Multiple degrees of freedom; New dimensions; Security level; Sensor based data; Signature data; Signature verification; Skilled forgery; Stringent requirement; Virtual-reality environment; Animation; Intelligent systems; Sensors; Industrial applications
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:326
Deposited By: Assoc Prof Dr Nidal Kamel
Deposited On:04 Mar 2010 06:25
Last Modified:19 Jan 2017 08:25

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