湖南农业大学学报（自然科学版）2005，Vol.31Issue(5)：557-561,5.
基于DWFMT非变异特征的指纹鉴别技术
Fingerprint Identification Based on DWFMT Invariant Features
摘要
Abstract
A novel method of fingerprint identification based on the features extracted from the integrated discrete wavelet and the Fourier-Mellin transform (DWFMT) was proposed. Discrete Wavelet transform was used to smooth and preserve the local edges after image decomposition, making the fingerprint images less sensitive to shape distortion whilst Fourier-Mellin transform served to produce a translation, rotation and scale invariant feature. Multiple DWFMT features could be used to form a reference invariant feature through the linearity property of Fourier-Mellin Transform and hence reduce the variability of the input fingerprint images. The experiments showed the identification accuracy reached over 96% and 99% of identification rate was achieved when multiple DWFMT features were used.关键词
指纹鉴别/离散小波变换/Fourier-Mellin变换/非变异特征Key words
fingerprint identification/discrete wavelet transform/Fourier-Mellin transform/invariant features分类
信息技术与安全科学引用本文复制引用
黄同成,丁友东..基于DWFMT非变异特征的指纹鉴别技术[J].湖南农业大学学报（自然科学版）,2005,31(5):557-561,5.基金项目
上海市科技局资助项目(04SHK1068) （04SHK1068）
