摘要
对现有指纹图像增强算法进行研究并提出了一种新的改进算法。利用Gaussian滤波器对指纹图像多次滤波计算指纹图像方向图,减小了噪声的影响;根据得到的方向信息对原有图像进行对应分块旋转并沿Y轴垂直投影得到图像的统计频率,算法简便;采用Gabor滤波器进行指纹增强,取整幅图像有效频率的均值作为该图像的频率,减少了计算量。并在此基础上利用一定的判别规则对二值化图像进行可信度判别,进一步改进了增强后图像的质量。该算法简单有效,易于实现。实验结果表明对于一定噪声的指纹图像仍有很好的增强效果。
Based on the study of current fingerprint enhancement methods,a novel improved algorithm is proposed in the paper. The orientation is calculated by repetitious Gaussian filtering on fingerprint images through which noises can be removed well. According to the founded orientations,we rotate the original images divided by corresponding blocks.It is convenient to get the statistical frequencies by projecting the rotated blocks along axis Y.Fingerprint enhancement is processed through Gabor filter. And the processing time is reduced by using the average value of effective frequencies as the frequency of the whole image.A discriminant based on reliability is also adopted to improved the binary images.The algorithm presented is simple and effective, and easier to realized.The experimental results also show a better effect on noisy fingerprint images.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第9期181-183,共3页
Computer Engineering and Applications
