Adaptive Threshold Based on Wavelet Transform Fingerprint Image Denoising

Author

Yinping, Ma ; Yongxing, Huang

Author_Institution

Letter Inst. of Technol., Nanchang Inst. of Aeronaut. Univ., Nanchang, China

Volume

3

fYear

2012

fDate

23-25 March 2012

Firstpage

494

Lastpage

497

Abstract

This paper introduces a kind of wavelet transform adaptive threshold of the fingerprint image denoising method. The approach is one of the fingerprint image wavelet decomposition, and then based on Bayes framework, in different with different directions and son choose different optimal threshold, combined with soft threshold value method to fingerprint image denoising, improve the fingerprint image PSNR (Peak Signal-to-Noise Ratio), solve problem strong noise, fingerprint image improved overall for fingerprint identification subsequent fingerprint matching.

Keywords

Bayes methods; fingerprint identification; image denoising; image matching; image segmentation; wavelet transforms; Bayes framework; fingerprint identification; fingerprint image PSNR; fingerprint image denoising method; fingerprint image wavelet decomposition; fingerprint matching; optimal threshold; peak signal-to-noise ratio; soft threshold value method; strong noise problem; wavelet transform adaptive threshold; Fingerprint recognition; Image matching; Noise reduction; PSNR; Wavelet transforms; fingerprint denoising; fingerprint image; soft threshold; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4673-0689-8

Type

conf

DOI

10.1109/ICCSEE.2012.139

Filename

6188222