On-Line signature matching based on hilbert scanning patterns

Alireza Ahrary*, Hui Ju Chiang, Sei Ichiro Kamata

*この研究の対応する著者

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルAdvances in Biometrics - Third International Conference, ICB 2009, Proceedings
ページ1190-1199
ページ数10
DOI
出版ステータスPublished - 2009
イベント3rd International Conference on Advances in Biometrics, ICB 2009 - Alghero, Italy
継続期間: 2009 6月 22009 6月 5

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5558 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference3rd International Conference on Advances in Biometrics, ICB 2009
国/地域Italy
CityAlghero
Period09/6/209/6/5

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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