Fingerprint image enhancement using a fast Gabor filter

Author

Wang, Jingjing ; Sun, Xiaoyan

Author_Institution

Coll. of Phys. &Electron., Shandong Normal Univ., Jinan, China

fYear

2010

Firstpage

6347

Lastpage

6350

Abstract

Automatic fingerprint identification is one of the most important biometric technologies. Automatic fingerprint identification depends mainly on the comparison of ridge characteristics. The ridge characteristics include ridge ending, ridge bifurcation. How to extract those minutiae effectively is the key of automatic fingerprint identification. This paper uses a square Gabor filter using local average frequency. The method can overcome the blocky effect of Lin Hong´s Gabor filter. This paper proposes a new evaluation GI(Goodness Index) method of the fingerprint image enhancement algorithm. This evaluation GI method has a wide prospect.

Keywords

Gabor filters; bifurcation; fingerprint identification; image enhancement; automatic fingerprint identification; biometric technology; blocky effect; fast Gabor filter; fingerprint image enhancement; goodness index method; local average frequency; ridge bifurcation; ridge characteristics; ridge ending; square Gabor filter; Algorithm design and analysis; Bifurcation; Fingerprint recognition; Gabor filters; Image matching; Pixel; Gabor filter; a fast algorithm; an evaluation GI method; blocky effect;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2010 8th World Congress on

Conference_Location

Jinan

Print_ISBN

978-1-4244-6712-9

Type

conf

DOI

10.1109/WCICA.2010.5554350

Filename

5554350