Identification potential of online handwritten signature verification


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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

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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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