On the fractal features in fingerprint analysis

Author

Polikarpova, Natalya

Author_Institution

Sci. Council "Cybern.", Acad. of Sci., Moscow, Russia

Volume

3

fYear

1996

fDate

25-29 Aug 1996

Firstpage

591

Abstract

The paper presents the results of the investigations of the behaviour of different fractal characteristics of textured images with complex pattern structure with fingerprint images as the experimental base. Two fractal characteristics-mass estimate of fractal dimension (EFD), and grid EFD (GEFD) are tested and local and global fingerprint fractal properties, based on these estimates are described. It is shown that both mass EFD and GEFD are insensitive to transformations, which don´t corrupt image structure (such as shifts and rotations) and sensitive to distortions of image structure. The types of distortions to which they are sensitive, are detected. The possibilities of application of EFDs to fingerprint analysis are discussed

Keywords

fingerprint identification; fractals; image texture; complex pattern structure; fingerprint analysis; fractal characteristics; fractal features; global properties; grid estimate of fractal dimension; image structure; local properties; mass estimate of fractal dimension; textured images; Councils; Fingerprint recognition; Fractals; Image coding; Image matching; Image texture analysis; Pattern analysis; Region 8; Spatial databases; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1996., Proceedings of the 13th International Conference on

Conference_Location

Vienna

ISSN

1051-4651

Print_ISBN

0-8186-7282-X

Type

conf

DOI

10.1109/ICPR.1996.547015

Filename

547015