Author(s)

Liu Hongqing

Corresponding Author

Liu Hongqing

Abstract

At first, this paper introduces the basic theory of wavelet analysis, such as continuous wavelet transform, discrete wavelet transform and wavelet packet analysis. Wavelet transform has the characteristics of time-frequency localization, so it can not only provide more accurate time domain location for fingerprints, but also provide more accurate frequency domain location. The fingerprints after wavelet transform have the characteristics of spectrum division, direction selection, multi-resolution analysis and natural tower data structure. The basic methods of fingerprint compression, fingerprint denoising, fingerprint fusion, fingerprint decomposition and fingerprint enhancement in MATLAB language environment are discussed on the basis of these characteristics of wavelet transform.

Keywords

Wavelet Analysis, Fingerprint Compression, Fingerprint Denoising, Fingerprint Fusion, Fingerprint Decomposition, Fingerprint Enhancement