Laplace-Gaussian滤波算子在指纹增强中的应用  

Laplace-Gaussian filter operator in the fingerprint enhancement

作　　者：刘必罡 杨永红[1] 

机构地区：[1]江苏科技大学电子信息学院,江苏镇江212003

出　　处：《电子设计工程》2016年第23期149-152,共4页Electronic Design Engineering

摘　　要：本文介绍了传统的滤波方法的分类,在此基础了引出了本文的研究内容。通过分析Laplace-Gaussian算子边缘检测的原理,然后分析了Laplace-Gaussian滤波器对指纹图像增强的处理,对滤波器的掩模尺寸和参数选择进行了详细分析和选取。通过MATLAB编程使用不同模板对同一幅指纹图像进行处理,最终实验结果表明合理的参数模板能够较准确的增强指纹图像边缘,检测结果也优于其他的参数模板。This article describes the classification of traditional filtering methods,on the basis of the contents of this paper leads.By analyzing the Laplace-Gaussian operator edge detection principle,Then it analyzes the Laplace-Gaussian filter for fingerprint image enhancement processing,Mask dimensions and parameters selection filter is analyzed in detail and select.By using different templates MATLAB programming with a fingerprint image processing,Final test results showed a reasonable parameter template can be more accurate fingerprint image enhancement edge detection result is better than the other parameters template

关 键 词：Laplace-Gaussian算子 模板选择 增强 指纹图像 

分 类 号：TN391.4[电子电信—物理电子学]