基于Gabor函数变换的指纹识别

Based on Gabor Functional Generation Fingerprint Recognition

用Gabor函数变换将指纹图像变换到联合空间频率域,对提取的频率进行能量函数合成,能量成分与Gabor函数一致,以联合空间频率域的能量分布作为提取指纹的特征。Gabor函数滤波器在频域内对子块其主方向上频率能量分布进行高分辨率滤波,进行了识别匹配。该增强算法速度快,效果好,可有效提取指纹特征信息。

With the Gabor functional generation the fingerprint picture inversion to the union space frequency domain, carries on to the extraction frequency the energy function synthesis, the energy ingredient is consistent with the Gabor function, unites the spatial frequency domain the energy distribution to take the extraction fingerprint the characteristic.The Gabor function filter the antithetical couplet block its principal direction upper frequency energy distribution carry on the high resolution filter in the frequency range, has carded on the recognition match.This wrap enhancement algorithm speed is quick, the effect is good, but withdraws the fingerprint characteristic information effectively.