An Algorithm for Fingerprint Identification Based on Wavelet Transform and Gabor Feature

Author

Xu Cheng ; Cheng, Xu

Author_Institution

Dept. of Grad. Manage., AFRA, Wuhan, China

fYear

2009

fDate

14-17 Oct. 2009

Firstpage

827

Lastpage

830

Abstract

This paper presents an algorithm for fingerprint identification based on wavelet transform and Gabor features. Firstly, a center point area of the fingerprint is detected, then the image in this area is decomposed into different sub-images using wavelet transform, finally we extract Gabor features from these sub-images to generate feature vectors for matching. The experiment conducted over the four FVC2004 databases shows that the proposed approach can capture much texture information at different scales and orientations, achieve high recognition rates.

Keywords

Gabor filters; feature extraction; fingerprint identification; image texture; vectors; wavelet transforms; FVC2004 databases; Gabor feature; feature vectors; fingerprint identification; recognition rates; sub-images; texture information; wavelet transform; Conference management; Data mining; Feature extraction; Fingerprint recognition; Genetics; Image databases; Image matching; Image processing; Pattern matching; Wavelet transforms; Gabor feature; fingerprint identification; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on

Conference_Location

Guilin

Print_ISBN

978-0-7695-3899-0

Type

conf

DOI

10.1109/WGEC.2009.74

Filename

5402837