mlsanityData to 13 Oct 2026

On the use of first and second derivative approximations for biometric online signature recognition

arXiv 2406.00512 ↗First posted 1 Jun 2024cs.CVcited by 1

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Abstract (arXiv)

This paper investigates the impact of different approximation methods in feature extraction for pattern recognition applications, specifically focused on delta and delta-delta parameters. Using MCYT330 online signature data-base, our experiments show that 11-point approximation outperforms 1-point approximation, resulting in a 1.4% improvement in identification rate, 36.8% reduction in random forgeries and 2.4% reduction in skilled forgeries

Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Builds on 5 of its 17 references that are in the map. First posted on arXiv 1 Jun 2024.

Builds on

5 of 17 references.

References · 5

  1. 2022Handwriting Biometrics: Applications and Future Trends in e-Security and e-Healthcited by 19
  2. 2024A Perspective Analysis of Handwritten Signature Technologycited by 12
  3. 2021ICDAR 2021 Competition on On-Line Signature Verificationcited by 8
  4. 2022Online handwriting, signature and touch dynamics: tasks and potential applications in the field of security and healthcited by 7
  5. 2022Biometric security technologycited by 6

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Citing papers per year: 2024: 1.

1 paper.

  1. 2024On the analysis of saturated pressure to detect fatiguecited by 0