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Title:

Criminalistic conclusions on signature forgery process during building an offline signature verification intellectual system

Subject and Keywords:

offline signature verification   signature forgery   signature dataset

Abstract:

The article describes details of the NSP-SigVer project, such as qualitative indicatorsof humans’ ability to identify a signature forgery, which can be used to build an offline signature verification system based on an artificial neural network. The average accuracy of this action is 69.29%. The article also provides a classification of signature forgery and some features of the forgery process which are important for its identification.

Date issued:

2021

Resource Type:

text

Detailed Type:

article

Identifier:

ISSN 2084-5065   ISSN 0239-6661

DOI:

10.19195/2084-5065.60.2

Language:

eng

Abstract Language :

eng

Is version of:

Czasopisma Naukowe w Sieci (CNS)

Access rights:

The use of this material is allowed only with accordance of applicable rules of fair use or other exceptions provided by law, and any broader use requires the permission of the authorized entity

License:

Making materials available on the basis of the agreement with the owner of the property copyrights

Rights holder:

Copyright by Wydawnictwo Uniwersytetu Wrocławskiego Sp. z o.o., Wrocław 2021   Copyright by CNS

Autor opisu:

WR U/PAdks