@misc{Bakhteev_Dmitry_V._Criminalistic_2021,
 author={Bakhteev, Dmitry V.},
 copyright={Copyright by Wydawnictwo Uniwersytetu Wrocławskiego Sp. z o.o., Wrocław 2021},
 copyright={Copyright by CNS},
 address={Wrocław},
 howpublished={online},
 year={2021},
 publisher={Wydawnictwo Uniwersytetu Wrocławskiego},
 language={eng},
 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.},
 title={Criminalistic conclusions on signature forgery process during building an offline signature verification intellectual system},
 type={text},
 keywords={offline signature verification, signature forgery, signature dataset},
}