一种基于Gabor的第二特征匹配方法

A Scheme for Secondary Features Match Based on Gabor

提出一种基于Gabor变换的指纹第二特征匹配方法,包括指纹图像预处理、特征提取、匹配三部分.增强方面,针对低质量指纹的预处理,利用指纹的方向特性设计出Gabor滤波器,对指纹进行滤波,其增强效果明显;匹配方面,针对局部指纹图像不包括奇异点这样的结构,提出了通过第二特征点进行匹配.实验表明,基于Gabor变换的指纹第二特征向量匹配方法快速并具有一定的容忍度,特别是对于低质量指纹的识别,同时具有实用价值.

A scheme for fingerprint identification based on Gabor filter is proposed in this paper. It includes pre-processing of fingerprint, extraction and matching of features. Fingerprint enhancement segmentation, binaryzation, filtration in binary image are all discussed in this set of algorithms. Using Gabor filter designed by ridge orientation of fingerprint, fingerprint enhancement is implemented. As to match, an approach is proposed Which uses secondary features match. Experiments show that the scheme for fingerprint identification based on Gabor is speedy and robust, especially suitable for fingerprint identification for low quality.