2024
DOI: 10.1002/sam.11673
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Application of nonparametric quantifiers for online handwritten signature verification: A statistical learning approach

Raydonal Ospina,
Ranah Duarte Costa,
Leandro Chaves Rêgo
et al.

Abstract: This work explores the use of nonparametric quantifiers in the signature verification problem of handwritten signatures. We used the MCYT‐100 (MCYT Fingerprint subcorpus) database, widely used in signature verification problems. The discrete‐time sequence positions in the x ‐axis and y‐axis provided in the database are preprocessed, and time causal information based on nonparametric quantifiers such as entropy, complexity, Fisher information, and trend are employed. The study also proposes to evaluate these qu… Show more

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