On-Line Signature Matching Based on Hilbert Scanning Patterns

Authors:
Alireza Ahrary;Hui-Ju Chiang;Sei-Ichiro Kamata
Affiliations:
Fukuoka Industry, Science and Technology Foundation, Japan and Information, Production and Systems Research Center, Waseda University, Japan;Department of Computer Science, National Tsing Hua University, Taiwan;Graduate School of Information, Production and Systems, Waseda University, Japan
Venue:
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Year:
2009

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Abstract

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.