University of Hertfordshire

By the same authors

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  • SR-AAM

    Accepted author manuscript, 2 MB, PDF document

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Original languageEnglish
JournalIEEE Transactions on Information Forensics and Security
Journal publication date20 Jun 2019
Early online date20 Jun 2019
DOIs
Publication statusE-pub ahead of print - 20 Jun 2019

Abstract

In Automatic Signature Verification, questioned specimens are usually compared with reference signatures. In writer-dependent schemes, a number of reference signatures are required to build up the individual signer model whilst a writerindependent system requires a set of reference signatures from several signers to develop the model of the system. This paper addresses the problem of automatic signature verification when no reference signatures are available. The scenario we explore consists of a set of signatures, which could be signed by the same author or by multiple signers. As such, we discuss three methods which estimate automatically the common authorship of a set of off-line signatures. The first method develops a score similarity matrix, worked out with the assistance of duplicated signatures; the second uses a feature-distance matrix for each pair of signatures, and the last method introduces pre-classification based on the complexity of each signature. Publicly available signatures were used in the experiments, which gave encouraging results. As a baseline for the performance obtained by our approaches, we carried out a visual Turing Test where forensic and non-forensic human volunteers, carrying out the same task, performed less well than the automatic schemes.

Notes

© 2019 IEEE

ID: 16206752