Email this article Identification potential of online handwritten signature verification
- Authors: Epifantsev B.N.1, Lozhnikov P.S.2, Sulavko A.E.2, Zhumazhanova S.S.1
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Affiliations:
- Siberian State Automobile and Highway Academy (SibADI)
- Omsk State Technical University
- Issue: Vol 52, No 3 (2016)
- Pages: 238-244
- Section: Analysis and Synthesis of Signals and Images
- URL: https://journals.rcsi.science/8756-6990/article/view/211952
- DOI: https://doi.org/10.3103/S8756699016030043
- ID: 211952
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Abstract
This paper presents a comparison of natural and artificial intelligences in identifying operators of information-processing systems and their functional state based on handwriting. The cause of the large scatter in the person identification error probability is determined. It is concluded that at the present level of knowledge, the best result achieved in solving the problem by artificial intelligence systems is close to that potentially possible. It is substantiated that online handwritten signature verification is suitable for identifying the functional state of operators of human-machine systems in professional activities.
About the authors
B. N. Epifantsev
Siberian State Automobile and Highway Academy (SibADI)
Email: sulavich@mail.ru
Russian Federation, pr. Mira 5, Omsk, 644080
P. S. Lozhnikov
Omsk State Technical University
Email: sulavich@mail.ru
Russian Federation, pr. Mira 11, Omsk, 644050
A. E. Sulavko
Omsk State Technical University
Author for correspondence.
Email: sulavich@mail.ru
Russian Federation, pr. Mira 11, Omsk, 644050
S. S. Zhumazhanova
Siberian State Automobile and Highway Academy (SibADI)
Email: sulavich@mail.ru
Russian Federation, pr. Mira 5, Omsk, 644080
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