Open AccessComparing the use of local and global features of handwritten signatures for user authentication
Author(s) -
D. A. Andreevskih,
S. D. Razboynikov,
М. П. Силич,
Konstantin Sarin
Publication year - 2020
Publication title -
doklady tomskogo gosudarstvennogo universiteta sistem upravleniâ i radioèlektroniki
Language(s) - English
Resource type - Journals
ISSN - 1818-0442
DOI - 10.21293/1818-0442-2020-23-4-30-34
Subject(s) - signature (topology) , computer science , authentication (law) , pattern recognition (psychology) , feature extraction , artificial intelligence , data mining , mathematics , computer security , geometry
The paper compares two methods of user authentication based on a handwritten signature. The first is based on the extraction of local signature features as functions that depend on the time of its application. The second extracts global signature features that characterize it entirely without reference to the moments of application. Authentication algorithms are presented for each of the methods; experiments are carried out on real handwritten signatures obtained during the study.