eprintid: 810
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/08/10
datestamp: 2023-11-09 15:48:57
lastmod: 2023-11-09 15:48:57
status_changed: 2023-11-09 15:23:13
type: article
metadata_visibility: show
creators_name: Sayeed, S.
creators_name: Kamel, N.S.
creators_name: Besar, R.
title: A novel approach to dynamic signature verification using sensor-based data glove
ispublished: pub
note: cited By 15
abstract: Data glove is a new dimension in the field of virtual reality environments, initially designed to satisfy e stringent requirements of modem motion capture and animation professionals. In this study 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. We used an SVD-based technique to extract the feature values of different sensors' locating on corresponding fingers in the signing process and evaluated the results for writer authentication. The technique is tested with large number of authentic and forgery signatures using data gloves with 14, 5 and 4 sensor and shows a significant level of accuracy with 2.46-5.0 of EER. © 2009 Science Publications.
date: 2009
publisher: Science Publications
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-52949145206&doi=10.3844%2fajas.2009.233.240&partnerID=40&md5=c66e22ddfff60dfce9554efebae2efdc
id_number: 10.3844/ajas.2009.233.240
full_text_status: none
publication: American Journal of Applied Sciences
volume: 6
number: 2
pagerange: 233-240
refereed: TRUE
issn: 15469239
citation:   Sayeed, S. and Kamel, N.S. and Besar, R.  (2009) A novel approach to dynamic signature verification using sensor-based data glove.  American Journal of Applied Sciences, 6 (2).  pp. 233-240.  ISSN 15469239