Adaptive Threshold Based on Wavelet Transform Fingerprint Image Denoising
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.
fingerprint image wavelet transform soft threshold fingerprint denoising
Ma Yinping Huang Yongxing
Letter Institute of Technology Nanchang Institute of Aeronautical University, Nanchang, China, 330063
国际会议
杭州
英文
494-497
2012-03-23（万方平台首次上网日期，不代表论文的发表时间）