计算机技术与发展2018，Vol.28Issue(4)：124-127,4.DOI:10.3969/j.issn.1673-629X.2018.04.026
基于改进的Gabor指纹纹理提取算法的研究
Research on Texture Extraction Algorithm Based on Improved Gabor Fingerprint
摘要
Abstract
For the extraction of minutiae feature and image feature in fingerprint texture,the commonly used methods of texture extraction such as statistical features of LBP texture,texture feature extraction based on fractal dimension,Gabor filter texture extraction and Tamura texture analysis are researched.According to the characteristics of optimal localization in frequency domain and time domain simultane-ously for Gabor filter,the local structure information about spatial frequency(scale),spatial location and direction selectivity can be well described.For this,we propose introducing two different curvature factors on the basis of traditional Gabor function model,and solve the problem that the general Gabor filter cannot be used to extract the local bending features by the characteristics of general Gabor filter de-composed into one-dimensional Gauss filter in two orthogonal directions.After theoretical analysis and practical research,it is indicated that the improved Gabor filter is better than the traditional Gabor filter for the extraction of the fingerprint texture.关键词
局部二值模式/分形维数/Gabor滤波器/纹理提取/TamuraKey words
local binary pattern(LBP)/fractal dimension/Gabor filter/texture extraction/Tamura分类
信息技术与安全科学引用本文复制引用
裴炜冬,朱铮涛,杨敏,萧达安..基于改进的Gabor指纹纹理提取算法的研究[J].计算机技术与发展,2018,28(4):124-127,4.基金项目
国家自然科学基金面上项目(61471134) （61471134）
