Description: Gabor 滤波器工具箱，包括各种Gabor滤波器的函数，可用于图像滤波处理，特征提取，如人脸，掌纹，指纹识别等。-Gabor filter toolbox, including Gabor filter function, can be used for image filtering processing, feature extraction, such as human faces, palm prints, such as fingerprint recognition. Platform: |
Size: 296960 |
Author:陈浩 |
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Description: Gabor小波提取特征,然后用支持向量机作分类器，可以用于掌纹，人脸，指纹识别。-Gabor wavelet feature extraction, and then use the support vector machine as classifier, can be used for palmprint, face, fingerprint identification. Platform: |
Size: 2048 |
Author:陈浩 |
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Description: Gabor小波提取特征,然后用支持向量机作分类器，可以用于掌纹，人脸，指纹识别。-Gabor wavelet feature extraction, and then use the support vector machine as classifier, can be used for palmprint, face, fingerprint identification. Platform: |
Size: 4096 |
Author:陈浩 |
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Description: 离散余弦变换，然后主成分分析进行数据降维，用于模式识别，如人脸识别，掌纹，表情，指纹等识别。-Discrete cosine transform, and then principal component analysis for data dimensionality reduction for pattern recognition, such as face recognition, palmprint, face, fingerprint and other identification. Platform: |
Size: 16384 |
Author:陈浩 |
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Description: 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)) Platform: |
Size: 1024 |
Author:郑碧波 |
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Description: i want source code for gabor filter to remove noise in preprocessing step of fingerprint in matlab Platform: |
Size: 1024 |
Author:rams |
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Description: matlab图像处理非常重要，Gabor小波提取特征,然后用支持向量机作分类器，可以用于掌纹，人脸，指纹识别-Gabor wavelet feature extraction, and then use the support vector machine classifier, can be used for palmprint, face, fingerprint recognition Platform: |
Size: 2048 |
Author:王斌 |
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Description: 基于对指纹的完整脊状结构的显式检测的表征。
在指纹上有丰富的歧视性信息的重要组成部分。当地的脊
结构不能完全以细节为特征。这个基于过滤的算法使用了一个Gabor过滤器来捕获本地和全局的细节。
指纹作为一种紧凑的固定长度的指纹。指纹匹配是基于欧几里德的。
两个对应的指纹之间的距离是非常快的。我们能够实现a。
验证精度仅略低于基于细节的算法的最佳结果。
发表在开放文学。我们的系统比先进的基于细节的系统性能更好。
当应用系统的性能要求不要求非常低的错误接受率时。
最后，我们证明了匹配的性能可以通过结合配对的决定来提高。
基于互补(基于细节和基于过滤的)指纹信息。(With identity fraud in our society reaching unprecedented proportions and with an increasing emphasis on the emerging automatic personal identification applications, biometrics-based verification, especially fingerprint-based identification, is receiving a lot of attention. There are two major shortcomings of the traditional approaches to fingerprint representation. For a considerable fraction of population, the representations based on explicit detection of complete ridge structures in the fingerprint are difficult to extract automatically. The widely used minutiae-based representation does not utilize a significant component of the rich discriminatory information available in the fingerprints.) Platform: |
Size: 1242112 |
Author:kkkaimm |
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