eprintid: 663
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/06/63
datestamp: 2023-11-09 15:48:48
lastmod: 2023-11-09 15:48:48
status_changed: 2023-11-09 15:22:55
type: conference_item
metadata_visibility: show
creators_name: Sayeed, S.
creators_name: Besar, R.
creators_name: Kamel, N.S.
title: Signature verification using data glove with prominent sensors
ispublished: pub
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
note: cited By 2; Conference of 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009 ; Conference Date: 25 July 2009 Through 26 July 2009; Conference Code:78109
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.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449118151&doi=10.1109%2fCITISIA.2009.5224174&partnerID=40&md5=42219ddcdbcfa75f4e9a6d2eb4b98971
id_number: 10.1109/CITISIA.2009.5224174
full_text_status: none
publication: 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009
place_of_pub: Kuala Lumpur
pagerange: 407-411
refereed: TRUE
isbn: 9781424428878
citation:   Sayeed, S. and Besar, R. and Kamel, N.S.  (2009) Signature verification using data glove with prominent sensors.  In: UNSPECIFIED.