Identification potential of online handwritten signature verification
Б. Н. Епифанцев, П. С. Ложников, Alexey Е. Sulavko, Жумажанова Самал Сагидулловна · Optoelectronics Instrumentation and Data Processing · 2016
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.