Open AccessCriminalistic conclusions on signature forgery process during building an offline signature verification intellectual system
Author(s) -
Dmitry V. Bakhteev
Publication year - 2022
Publication title -
nowa kodyfikacja prawa karnego
Language(s) - English
Resource type - Journals
ISSN - 2084-5065
DOI - 10.19195/2084-5065.60.2
Subject(s) - signature (topology) , computer science , digital signature , process (computing) , computer security , action (physics) , artificial intelligence , mathematics , physics , hash function , geometry , quantum mechanics , operating system
The article describes details of the NSP-SigVer project, such as qualitative indicators of humans’ ability to identify a signature forgery, which can be used to build an oine signature verication system based on an articial neural network. The average accuracy of this action is 69.29%. The article also provides a classi cation of signature forgery and some features of the forgery process which are important for its identication.