IDENTIFICATION OF TYPICAL GDV-PICTURES

IDENTIFICATION OF TYPICAL GDV-PICTURES OF FINGERS ON THE BASIS OF ANALYSIS OF THEIR FRACTAL DINAMICS

K.G. Korotkov, R.I. Polonnikov

Saint Petersburg Institute of Fine Mechanics and Optics, Saint Petersburg Institute of Informatics and Automation of the Academy of Sciences of Russia.

A new method of analysis of fractal dynamics, which realizes conversion and compression of the data obtained with the help of “GDV-Camera” firmware complex, is studied. The techniques of picture typification and classification are developed on which basis the converted and compressed data are subject to a discriminant analysis. System MathCad operators’ notation is used in the work mainly.