基于方向图和Gabor滤波的指纹预处理算法  

Preprocessing Algorithm for Fingerprint Image Based on Orientation and Gabor Filter

作　　者：付玉虎[1] 杜月荣 李哲哲[2] 

机构地区：[1]西安电子科技大学物理与光电工程学院,陕西西安710071 [2]西安电子科技大学通信工程学院,陕西西安710071

出　　处：《计算机与现代化》2014年第1期81-85,共5页Computer and Modernization

摘　　要：指纹图像在预处理过程中往往受多方面因素制约,有时无法满足指纹识别系统的要求。本文在传统指纹预处理算法基础上,给出一种有效的指纹预处理改进算法。首先,采用分块方差梯度分割算法分离指纹图像和背景区;再根据指纹特征,用方向图和均值滤波器进行图像增强,并用简化的Gabor滤波器,改进滤波模板滤除边缘模糊效应。二值化、细化并删除伪特征点后,提取出指纹脊线骨架并获得指纹特征点。实验表明,该预处理算法对不同质量的指纹图像均具有较好效果,算法灵活高效、易于实现、精确度高,达到了指纹识别系统的要求。The fingerprint image in preprocessing is often affected by many factors, but sometimes can not meet the requirements of fingerprint identification system. In this article, an effective fingerprint preprocessing algorithm is presented based on the tradi- tional methods for preprocessing. Firstly, a method based on block gradient variance is implemented to achieve the separation of the fingerprint image and the background area. Secondly, according to the fingerprint feature, we use orientation map and mean filter to enhance the image. And using simplified Gabor filter improves the filtering template to filter edge blur effect. After binari- zation, thinning and eliminating pseudo minutiae, we get the fingerprint image skeletonization and extract the fingerprint feature points. Experiments show that the preprocessing algorithm is applicable to images of different qualities and levels. It is flexible, efficient, easy, and accurate, meets the requirement of fingerprint identification system.

关 键 词：指纹识别 块梯度方差 伪特征点删除 均值滤波 二值化 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]