一种基于高斯算子的指纹图像分割方法

Segmentation method of fingerprint image based on dauss operator

将高斯算子进行了改进,构造的模板作用于指纹灰度图像,结合形态学方法进行图像分割,实现对指纹前景摸板的提取,阈值选取的要求很低,并可有效防止背景区域中的斑点干扰,对质量较差的指纹图像也具有很好的分割效果.实验结果表明,该算法不仅表现出良好的适应能力和抗噪声干扰,还具有该算法简单、鲁棒性强等优点,其性能优于传统的方差方法.

This article improves Gauss operator, acting on the grayscale fingerprint image,and uses the morphological closing operation method for fingerprint image segmentation. Experimental results show that the algorithm performance is superior to the traditional method of variance, fast and effective. It provides an effective method for fingerprint image segmentation processing.