基于Gabor滤波的图像质量分区指纹特征提取  

Fingerprint Feature Extraction from different Quality of Image Base on Gabor Filter

作　　者：刘宏勇[1] 蔡秀梅[1] 

机构地区：[1]西安邮电学院信息安全研究中心,陕西西安710061

出　　处：《科技信息》2010年第3期I0071-I0072,共2页Science & Technology Information

摘　　要：基于Gabor滤波器的指纹图像质量分区方法,对指纹图像的各个分区进行了质量评价。然后对高质量分区直接进行脊线跟踪,提取细节特征点;对低质量分区先使用普遍使用的预处理方法,再进行特征提取。对若干幅低质量指纹进行了实验,得到了不错的实验效果,并且实验的效率和准确率也有所提高。A method of the districts divided by image quality base on Gabor filter, The image quality of all districts is estimated . Ridges are traced and minutiae are extracted directly from the high-quality districts; the ordinary methods of preprocessing are executed for poor-quality districts, and then minutiae are extracted. Some poor-quality images were tested, and good result was obtained. The right rate and efficiency of Minutiae Extraction was improved.

关 键 词：GABOR滤波器 指纹 脊线跟踪 细节特征点 特征提取 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TB852.1[自动化与计算机技术—计算机科学与技术]