Title :
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
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;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.139
