一种改进的基于Gabor小波的指纹增强算法

An Improved Gabor-Based Fingerprint Enhancement Method

鉴于当前的利用Gabor小波对指纹进行增强的方法中滤波范围固定的缺点,提出了一种改进指纹增强方法.对Gabor小波的性质和指纹图像的内在特点做了深入的分析,确定Gabor小波的方向和频率参数,并设定了一个可以根据局部纹路方向和频率自动调整的区域作为滤波范围对指纹图像进行增强.实验结果表明,该方法可以有效地去除噪音,并且很好地恢复出纹路信息以增加指纹匹配后续操作的准确度.

Since most of existing fingerprint image enhancement methods using Gabor wavelet have the disadvantage that their filtering regions are fixed, an improved method is proposed. The performance of Gabor wavelet and inherent characteristics of fingerprint image are investigated in depth to determine the orientation of Gabor wavelet and relevant frequency parameters. And an area is set up as the filtering region to enhance a fingerprint image, which can be modulated automatically according to the change in local ridge orientation and frequency. Experimental results showed that the improved method can denoise the fingerprint images efficiently and that the information on ridge orientation is able to be well restored so as to improve the precision of subsequent operation for fingerprint matching.