TY - GEN
T1 - On-Line signature matching based on hilbert scanning patterns
AU - Ahrary, Alireza
AU - Chiang, Hui Ju
AU - Kamata, Sei Ichiro
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - Signature verification is a challenging task, because only a small set of genuine samples can be acquired and usually no forgeries are available in real application. In this paper, we propose a novel approach based on Hilbert scanning patterns and Gaussian mixture models for automatic on-line signature verification. Our system is composed of a similarity measure based on Hilbert scanning patterns and a simplified Gaussian mixture model for decision-level evaluation. To be practical, we introduce specific simplification strategies for model building and training. The system is compared to other state-of-the-art systems based on the results of the First International Signature Verification Competition (SVC 2004). Experiments are conducted to verify the effectiveness of our system.
AB - Signature verification is a challenging task, because only a small set of genuine samples can be acquired and usually no forgeries are available in real application. In this paper, we propose a novel approach based on Hilbert scanning patterns and Gaussian mixture models for automatic on-line signature verification. Our system is composed of a similarity measure based on Hilbert scanning patterns and a simplified Gaussian mixture model for decision-level evaluation. To be practical, we introduce specific simplification strategies for model building and training. The system is compared to other state-of-the-art systems based on the results of the First International Signature Verification Competition (SVC 2004). Experiments are conducted to verify the effectiveness of our system.
KW - Gaussian mixture model
KW - Hilbert scanning distance
KW - Hilbert scanning patterns
UR - http://www.scopus.com/inward/record.url?scp=69949181657&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=69949181657&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-01793-3_120
DO - 10.1007/978-3-642-01793-3_120
M3 - Conference contribution
AN - SCOPUS:69949181657
SN - 3642017924
SN - 9783642017926
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1190
EP - 1199
BT - Advances in Biometrics - Third International Conference, ICB 2009, Proceedings
T2 - 3rd International Conference on Advances in Biometrics, ICB 2009
Y2 - 2 June 2009 through 5 June 2009
ER -