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本文对指纹特征点的提取，特征点的匹配，用matlab进行了实现-In this paper, the fingerprint feature points extraction, feature point matching, was realized with matlab
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基于点的matlab图像配准.提出一种基于小波系数的特征索引算法，实现了图像特征点对的快速搜索和两幅图像之间的匹配-Based on the point of matlab Image Registration. Presents a feature based on wavelet coefficients indexing algorithm to realize the image feature points on the fast search and matching between
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MATLAB图像配准源程序,初学者一起研究.图像配准的程序，在网上流传很多，本人把能找到的都打包.-MATLAB source image registration, novices together. Step one, calculated to be scale-space image registration and to obtain scale-space Harris corner step 2, using affine shape modification technolog
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检测图像的特征点，并检测两个图像之间的匹配的特征点-Image feature point detection and matching between two images detected feature points
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RANSAC算法实现特征点发匹配并且计算相应 的基础矩阵-RANSAC algorithm for matching feature points and made the basis for calculating the corresponding matrix
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(1) 读取n副连续有重叠部分的图像，在n副图像中检测SIFT特征，并用SIFT
特征描述子对其进行描述。
(2) 匹配相邻图像的特征点，并根据特征点向量消除误匹配。
(3) 使用RANSAC方法，确定变换参数。
(4) 图像融合
-(1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized us
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This project reflects pattern recognition techniques that we’ve studied in course. Our main focus throughout the project was feature extraction. System extracts minutiae points selected image and then performs fingerprint matching based on minutiae p
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采用fast算法获取特征点，匹配特征点并获取仿射矩阵进行图像变换-Fast algorithm to obtain feature points, matching feature points and obtain affine matrix for image transformation
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本设计为基于MATLAB特征点匹配的指纹识别系统。带有一个GUI界面。主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像分割、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint recognition system based on
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