TY  - CONF
KW  - 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
KW  -  Animation; Intelligent systems; Sensors
KW  -  Industrial applications
ID  - scholars663
SP  - 407
TI  - Signature verification using data glove with prominent sensors
N1  - 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
N2  - 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.
AV  - none
CY  - Kuala Lumpur
EP  - 411
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449118151&doi=10.1109%2fCITISIA.2009.5224174&partnerID=40&md5=42219ddcdbcfa75f4e9a6d2eb4b98971
A1  - Sayeed, S.
A1  - Besar, R.
A1  - Kamel, N.S.
SN  - 9781424428878
Y1  - 2009///
ER  -