Adaptive Threshold Based on Wavelet Transform Fingerprint Image Denoising

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.