Identification Potential of Online Handwritten Signature Verification

被引：5
|
作者：
Epifantsev, B. N. [1 ]
Lozhnikov, P. S. [2 ]
Sulavko, A. E. [2 ]
Zhumazhanov, S. S. [1 ]
机构：
[1] Siberian State Automobile & Highway Acad SibADI, Pr Mira 5, Omsk 644080, Russia
[2] Omsk State Tech Univ, Pr Mira 11, Omsk 644050, Russia
来源：
OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING | 2016年 / 52卷 / 03期
关键词：
information security; subconscious movements; signer identification; artificial intelligence; natural intelligence; intelligence comparison; human state identification;
D O I：
10.3103/S8756699016030043
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
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.
引用
收藏
页码：238 / 244
页数：7
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