Paper ID: 2406.00512

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

Marcos Faundez-Zanuy, Moises Diaz

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

Submitted: Jun 1, 2024