基于高斯调制二维正弦曲面滤波器的指纹增强算法  

Fingerprint Enhancement Algorithm Based on Two-Dimensional Sine Quadric Surface Filter Modulated by Gaussian Function

作　　者：詹小四[1] 蔡乐毅[1] 

机构地区：[1]浙江外国语学院科技学院,杭州310012

出　　处：《数据采集与处理》2017年第1期62-70,共9页Journal of Data Acquisition and Processing

基　　金：浙江省自然科学基金(Y1101304)资助项目

摘　　要：针对指纹图像的纹理特征,深入分析了指纹图像的纹理结构及与二维正弦曲面模式的相似性,构造设计了二维正弦曲面滤波器。为了降低边际噪声对滤波器性能的影响,提升滤波器的滤波增强效果,采用二维高斯函数对二维正弦曲面滤波器进行调制,最终构建了高斯调制二维正弦曲面滤波器,设计实现了基于该滤波器的指纹增强算法。分组实验结果表明,文中提出的基于高斯调制二维正弦曲面滤波器的指纹增强算法能够有效地提高指纹图像的质量,对普遍存在于低质量指纹图像中的断线、疤痕和粘连等强噪声区域的增强效果更好。A two-dimensional sine quadric surface filter is constructed and designed after analyzing the texture structure of fingerprint image and the comparability between the texture structure and two-dimensional sine quadric surface pattern.To reduce the effect of marginal noise on the performance of the filter and improve the enhancement capability of the filter,the paper adopts two-dimensional Gaussian function to modulate the two-dimensional sine quadric surface filter.Finally,the paper produces the fingerprint enhancement algorithm based on two-dimensional sine quadric surface filter modulated by Gaussian function.The grouping experimental results show that the proposed fingerprint enhancement algorithm can improve the quality of fingerprint image and reduce the effect of strong noise,such as the broked texture,the scar and the conglutination in the low-quality fingerprint image.

关 键 词：指纹识别系统 指纹图像增强 二维正弦曲面滤波器 高斯函数 加博滤波器 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]