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arXiv · 2406.00512

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

Marcos Faundez-Zanuy·Moises Diaz
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Abstract

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

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Marcos Faundez-Zanuy, Moises Diaz. 2024-06-01. On the use of first and second derivative approximations for biometric online signature recognition. https://doi.org/10.1007/978-3-031-43085-5_36

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