The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 88-417
Full Name: Bence Kovari
Position: Researcher
Age: ON
Sex: Male
Address: Magyar Tudosok Korutja 2, Q
Country: HUNGARY
Tel: 0036304465647
Tel prefix:
Fax:
E-mail address: beny@aut.bme.hu
Other E-mails: kovari@gmail.com
Title of the Paper: Analysis of Intra-Person Variability of Features for Off-line Signature Verification
Authors as they appear in the Paper: Bence Kovari, Hassan Charaf
Email addresses of all the authors: beny@aut.bme.hu
Number of paper pages: 10
Abstract: One of the major challenges in off-line signature verification is the fact that a person's own signature is influenced by a number of external and internal factors. This influence results in a high variability even between signatures written by the same signer. This paper proposes a method which is able to model the intra-person variability of a signature feature and also to identify and eliminate the effects of external factors. To demonstrate the efficiency of the algorithm, a sample signature verifier is constructed and evaluated on the Signature Verification Competition 2004 database. Experiments have shown that by using 3 features (endings, loops and skew vectors) an average error rate of 12% can be achieved by the system. These results may be further improved by increasing the number of features, used during the comparison of signatures.
Keywords: signature verification; off-line; classification, normal distribution
EXTENSION of the file: .pdf
Special (Invited) Session: Statistical Analysis of Signature Features with Respect to Applicability in Off-line Signature Verification
Organizer of the Session: 646-502
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