Iterative Fingerprint Enhancement with Matched Filtering and Quality Diffusion in Spatial-Frequency Domain

Author

Sutthiwichaiporn, Prawit ; Areekul, Vutipong ; Jirachaweng, Suksan

Author_Institution

Dept. of Electr. Eng., Kasetsart Univ., Bangkok, Thailand

fYear

2010

fDate

23-26 Aug. 2010

Firstpage

1257

Lastpage

1260

Abstract

The proposed fingerprint enhancement algorithm utilizes power spectrum in spatial-frequency domain. The input fingerprint is partitioned and assessed as high/low quality zone by using signal-to-noise ratio (SNR) approach. For high quality zone, signal spectrum with noise suppression is used to shape an enhanced filter in frequency domain. Then, this algorithm feed neighboring enhanced zone back in order to repair unreliable low quality region. The proposed algorithm out-performs Gabor and STFT approaches by fingerprint matching experiments on FVC2004 Db2 and Db3.

Keywords

filtering theory; fingerprint identification; iterative methods; SNR; iterative fingerprint enhancement; matched filtering; noise suppression; power spectrum; quality diffusion; signal spectrum; signal-to-noise ratio; spatial-frequency domain; Algorithm design and analysis; Fingerprint recognition; Frequency domain analysis; Matched filters; Signal to noise ratio; Denoising; Fingerprint Enhancement; Matched Filtering; Quality Diffusion; Spatial-Frequency Domain Enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (ICPR), 2010 20th International Conference on

Conference_Location

Istanbul

ISSN

1051-4651

Print_ISBN

978-1-4244-7542-1

Type

conf

DOI

10.1109/ICPR.2010.313

Filename

5597328