TY - GEN
T1 - Offline signature verification through biometric strengthening
AU - Ooi, Shin Yin
AU - Teoh, Andrew Beng Jin
AU - Ong, Thian Song
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - The offline signature verification rests on the hypothesis that each writer has similarity among signature samples, with small distortion and scale variability, In this paper we propose a novel method to increase the accuracy in biometric matching which we term biometric strengthening. We reported 1.1% equal error rate (EER) over the independent database on random forgery, while casual forgery on EER 1.2% and lastly skilled forgery on EER 2.1 % along the paper. Our experiments show that biometric strengthening reduces the false acceptance rate (FAR) and false rejection rate (FRR) by increasing the disparity between the features of the two persons, which tends to tolerate more intrapersonal variance which can reduce the FRR without increasing the probability of false accepts.
AB - The offline signature verification rests on the hypothesis that each writer has similarity among signature samples, with small distortion and scale variability, In this paper we propose a novel method to increase the accuracy in biometric matching which we term biometric strengthening. We reported 1.1% equal error rate (EER) over the independent database on random forgery, while casual forgery on EER 1.2% and lastly skilled forgery on EER 2.1 % along the paper. Our experiments show that biometric strengthening reduces the false acceptance rate (FAR) and false rejection rate (FRR) by increasing the disparity between the features of the two persons, which tends to tolerate more intrapersonal variance which can reduce the FRR without increasing the probability of false accepts.
UR - http://www.scopus.com/inward/record.url?scp=34748820751&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34748820751&partnerID=8YFLogxK
U2 - 10.1109/AUTOID.2007.380624
DO - 10.1109/AUTOID.2007.380624
M3 - Conference contribution
AN - SCOPUS:34748820751
SN - 1424412994
SN - 9781424412990
T3 - 2007 IEEE Workshop on Automatic Identification Advanced Technologies - Proceedings
SP - 226
EP - 231
BT - 2007 IEEE Workshop on Automatic Identification Advanced Technologies - Proceedings
T2 - 2007 IEEE Workshop on Automatic Identification Advanced Technologies, AUTOID 2007
Y2 - 7 June 2007 through 8 June 2007
ER -