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指纹图像的增强,细化.指纹特征点的提取,单个特征点的对比,单个特征星的对比,指纹图像的对比-fingerprint image enhancement and refinement. Fingerprint Feature Extraction Point, a single point of contrast, Characteristics of single-contrast images of fingerprints
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完整的MATLAB指纹处理程序,包括分割,滤波,特征点提取,matlab fingerprint feature extraction program
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指纹识别算法，所有算法代码（包括预处理，提取特征与匹配算法）都包含在内，没有使用动态链接库,Fingerprint recognition algorithm, all the algorithm code (including preprocessing, feature extraction and matching algorithm) are included, do not use dynamic-link library
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基于matlab的对于指纹的特征提取，对初学者有很好的帮助，,The matlab-based feature extraction for fingerprint on a very good help for beginners
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这是一个用C++语言实现一个指纹识别程序，要求满足FVC国际竞赛标准，并在学校建立的指纹库上实测。程序里应用到的技术有：中值滤波、直方图均衡化、脊线方向提取、Gabor滤波、指纹细化、特征提取、特征点过滤、基于局部特征点的特征匹配-This is a C++ Language realization of a fingerprint identification procedure, the requirements FVC meet international competition stan
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指纹识别的程序，包括二值化，细化，提取特征点等。-Fingerprint identification procedures, including binarization, thinning, such as extraction of feature points.
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这是一个完整的指纹识别程序，它包括了直方图均衡，Gabor滤波图像增强，方向图过滤，纹理细化，特征提取及特征匹配。-This is a complete fingerprint recognition procedure, which includes a histogram equalization, Gabor filter image enhancement, filtering pattern, texture refinement, feature extraction and fea
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用matlab代码实现如下论文的指纹特征提取《基于Ma tlab实现的指纹图像细节特征提取》 郭晶莹，[J]北京，计算机仿真 2007.1 -Matlab code used to achieve the following papers fingerprint feature extraction, " Ma tlab based on the realization of the details of the fingerprint image feature extraction,
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根据指纹的固有规律，提出了一套较完整的指纹图像预处理和特征提取算法。改进了指纹脊线频率求取算法和二值图像去孔噪声
算法，并提出了一种新的滤除指纹伪特征点的方法。通过对上百幅不同质量的指纹图像进行测试，获得了较好的效果。
关键词：指纹；预处理；特征提取-According to the inherent laws of fingerprints, a set of more complete fingerprint image pre-processing and feature extr
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含有完整的指纹处理步骤，是用MATLAB进行编程的。主要有基于纹理的指纹特征的提取和分析。-Contains a complete fingerprint processing step is carried out using MATLAB programming. Mainly based on the texture of the fingerprint feature extraction and analysis.
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提供VC++图像处理，包括RGB转HSV，指纹识别，离散余弦转换，条码生成，手势识别，矩特征提取等-To provide VC++ image processing, including the RGB switch to HSV, fingerprint recognition, discrete cosine transform, barcode generation, gesture recognition, feature extraction, etc. Moment
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指纹图像预处理与特征提取是指纹识别的前提，本文提供指纹图像预处理算法, 并给出了指纹特征提取及其后处理算法及其参考文献。-Fingerprint image preprocessing and feature extraction is a prerequisite for fingerprint recognition, fingerprint image pre-processing algorithm in this article, and gives the fingerprint f
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指纹图像预处理与特征提取是指纹识别的前提。提出一套基于方向滤波与模糊数学方法的指纹图像
预处理算法, 并给出了指纹特征提取及其后处理算法。指纹图像预处理首先求出指纹的方向场, 然后根据方向
场进行滤波, 最后用模糊数学方法得到二值化图像。指纹特征提取则先从细化指纹图中得到特征点, 并依据伪
特征点的脊线与角度特征剔除伪特征点。-Fingerprint image preprocessing and feature extraction fingerprint identificati
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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
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demo program a complete fingerprint feature extraction procedures. Including all the algorithms commonly used options.Centralize: binary image, Center Point- Crop: image pruning- Sectorize: Visualization fan- Normalize: normalized input image- Gabor
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本文简要介绍了指纹识别的基本步骤，分别是指纹图像预处理、指纹特征提取、指纹匹配。-This article briefly describes the basic steps of the fingerprint identification, the fingerprint image pre-processing, fingerprint feature extraction, fingerprint matching.
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指纹图像的预处理matlab程序，包括指纹特征提取和指纹识别-Fingerprint image preprocessing matlab procedures, including fingerprint feature extraction and fingerprint recognition
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这是个小项目，花了一个月的时间采用c++做的，在vc++6.0的平台上用，具体算法有指纹的细化，特征提取，特征匹配，模版处理-This is a small project, it took a month to adopt c++ do on vc++6.0 platform with specific fingerprint algorithm refinement, feature extraction, feature matching, template processing
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具体算法有指纹的细化，特征提取，特征匹配，模版处理，还有对指纹低通高通波的处理-Specific algorithm fingerprint refinement, feature extraction, feature matching, template processing, as well as on the low-pass high-pass wave fingerprint processing
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Haar特征提取，广泛运用于人脸识别，指纹识别等图像识别领域。-HAAR feature extraction, is widely used in the field of face recognition, fingerprint identification, image recognition.
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