TY  - JOUR
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-52949145206&doi=10.3844%2fajas.2009.233.240&partnerID=40&md5=c66e22ddfff60dfce9554efebae2efdc
A1  - Sayeed, S.
A1  - Kamel, N.S.
A1  - Besar, R.
JF  - American Journal of Applied Sciences
VL  - 6
Y1  - 2009///
N2  - 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.
IS  - 2
ID  - scholars810
EP  - 240
SN  - 15469239
PB  - Science Publications
N1  - cited By 15
TI  - A novel approach to dynamic signature verification using sensor-based data glove
SP  - 233
AV  - none
ER  -