On-line Signature Matching Based on Hilbert Scanning Patterns

Alireza Ahrary, Jian Zhang, Sei ichiro Kamata

研究成果: Article査読

1 被引用数 (Scopus)


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 ways for constructing a model and its training method. 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.

ジャーナルJournal of the Institute of Image Electronics Engineers of Japan
出版ステータスPublished - 2010 1

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering

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