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指纹core点检测程序3(complex_filter), matlab demo code-fingerprint detection procedures core 3 (complex_filter) Matlab demo code
Update : 2008-10-13 Size : 244.94kb Publisher : lulibin

这个算法是仿真linghong的基于指纹码的方法 内有最新的指纹奇异点检测算法-the simulation algorithm is based on fingerprint linghong the code within the latest fingerprint singular point detection Algorithm
Update : 2025-02-19 Size : 654kb Publisher : zhang

指纹core点检测程序3(complex_filter), matlab demo code-fingerprint detection procedures core 3 (complex_filter) Matlab demo code
Update : 2025-02-19 Size : 245kb Publisher : lulibin

用于图像识别中,采用matlab编写的程序,lbp算法的实现-For image recognition, using matlab preparation procedures, lbp Algorithm
Update : 2025-02-19 Size : 2kb Publisher : fuxiaofeng

This code is a complete fingerprint core point detection. It uses orientation field for singular point detection and Zhang-suen algo. for thinning in preprocessing part
Update : 2025-02-19 Size : 67kb Publisher : Gaurav mittal

Manthan FINGERPRINT DETECTION in MATLAB Source code
Update : 2025-02-19 Size : 117kb Publisher : techie.asia

Gabor滤波器经常被用于形状检测和特征提取,比如增强指纹图像。本代码用matlab实现了一个二维Gabor滤波器。 代码使用如下: function [G,gabout] = gaborfilter1(I,Sx,Sy,f,theta) from gaborfilter1 with different f(Frequency) and theta(Angle). for example f:0,2,4,8,16,32 theta = 0,pi/3,pi/6,pi/2,3pi/4 then for any input image like(eg. stereo.jpg) you have 6x5 = 30 filtered images. You can choose your desired angles or frequencies. You can put nominaly Sx & Sy = 2,4 or some one else. For instance I tested above example on ( cameraman.tif )(in MATLAB pictures) I = imread( cameraman.tif ) [G,gabout] = gaborfilter1(I,2,4,16,pi/3) figure,imshow(uint8(gabout)) -Gabor filters are often used for shape detection and feature extraction, such as the enhanced fingerprint image. Matlab implementation of the code is a two-dimensional Gabor filter. Use the following code: function [G, gabout] = gaborfilter1 (I, Sx, Sy, f, theta) from ' gaborfilter1' with different f (Frequency) and theta (Angle). For example f: 0,2,4, 8,16,32 theta = 0, pi/3, pi/6, pi/2,3 pi/4 then for any input image like (eg. stereo.jpg) you have 6x5 = 30 filtered images. You can choose your desired angles or frequencies. You can put nominaly Sx & Sy = 2,4 or some one else. For instance I tested above example on (' cameraman.tif' ) (in MATLAB pictures) I = imread (' cameraman.tif' ) [G, gabout] = gaborfilter1 (I, 2,4,16, pi/3) figure, imshow (uint8 (gabout))
Update : 2025-02-19 Size : 1kb Publisher : 郑碧波

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指纹识别图像分割部分的边缘检测代码 matlab语言环境 包括robert gauss 等几个算子-The divided portion of the fingerprint identification image edge detection code
Update : 2025-02-19 Size : 1kb Publisher : 妍妍
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