Identification potential of online handwritten signature verification
- 作者: Epifantsev B.N.1, Lozhnikov P.S.2, Sulavko A.E.2, Zhumazhanova S.S.1
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隶属关系:
- Siberian State Automobile and Highway Academy (SibADI)
- Omsk State Technical University
- 期: 卷 52, 编号 3 (2016)
- 页面: 238-244
- 栏目: 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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详细
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.
作者简介
B. Epifantsev
Siberian State Automobile and Highway Academy (SibADI)
Email: sulavich@mail.ru
俄罗斯联邦, pr. Mira 5, Omsk, 644080
P. Lozhnikov
Omsk State Technical University
Email: sulavich@mail.ru
俄罗斯联邦, pr. Mira 11, Omsk, 644050
A. Sulavko
Omsk State Technical University
编辑信件的主要联系方式.
Email: sulavich@mail.ru
俄罗斯联邦, pr. Mira 11, Omsk, 644050
S. Zhumazhanova
Siberian State Automobile and Highway Academy (SibADI)
Email: sulavich@mail.ru
俄罗斯联邦, pr. Mira 5, Omsk, 644080
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