Cosine Similarity for Analysis and Verification of Static Signatures

Abstract

The stability of handwritten signatures is a crucial characteristic for both investigating the nature of the signature apposition process and improving systems for automatic signature verification. In this paper, a new technique for the analysis of stability in static signature images is discussed. The technique adopts a feature-based strategy to derive regional information from a static signature image and uses cosine similarity to estimate the degree of regional stability among genuine signatures, according to a multiple matching strategy. The experimental test carried out using signatures in the GPDS database has demonstrated the validity of this novel approach in obtaining stability information and deriving significant signer-independent and signer-dependent properties of the signing process, useful for verification aims.


Tutti gli autori

  • IMPEDOVO D.;PIRLO G.

Titolo volume/Rivista

Non Disponibile


Anno di pubblicazione

2013

ISSN

2047-4938

ISBN

Non Disponibile


Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile


Numero di citazioni Scopus

18

Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

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