关键词: 指纹增强, Gaussian滤波, 可信度判别

Abstract: 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 nosy fingerprint images.

Key words: fingerprint enhancement, Gaussian filtering, reliability discriminant