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Published in:
2009 | OriginalPaper | Chapter
On-Line Signature Matching Based on Hilbert Scanning Patterns
Authors : Alireza Ahrary, Hui-ju Chiang, Sei-ichiro Kamata
Published in: Advances in Biometrics
Publisher: Springer Berlin Heidelberg
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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.