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Description: 这是一个用C++语言实现一个指纹识别程序，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 procedures, program applied to the technology are as follows: median filter, histogram equalization, the direction of the ridge line extraction, Gabor filtering, fingerprint thinning, feature extraction, feature point filter , based on local feature points of the feature matching
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Size: 1078272 |
Author: 张晓 |
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Description: 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-With C++ Language realization of a fingerprint identification procedures, require FVC meet international competition standards and the establishment of the fingerprint in the school library measured. Program applied to the technology are as follows: median filter, histogram equalization, the direction of the ridge line extraction, Gabor filtering, fingerprint refinement, feature extraction, feature point filtering, based on local feature points of the feature matching
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Size: 1719296 |
Author: mysisi |
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Description: 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 standards, and established in the school library on the measured fingerprint. Program applied to the technology are as follows: median filter, histogram equalization, the direction of the ridge line extraction, Gabor filtering, fingerprint thinning, feature extraction, feature point filtering, based on local feature points of the feature matching
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Size: 2272256 |
Author: job |
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Description: 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 extraction algorithm. To improve the frequency of the fingerprint ridge strike algorithms and binary image noise algorithm to hole, and filter out a new fingerprint method of pseudo-feature points. Increase by hundreds of different fingerprint image quality testing, to obtain good results. Key words: fingerprint pretreatment Feature Extraction
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Size: 200704 |
Author: martin |
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Description: 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等等……
-This is a C++ language implementation with a fingerprint identification procedure that requires the FVC meet international competition standards, and establish a fingerprint in the school library on the measurement. Program where the technology applied to the following: median filter, histogram equalization, the direction of ridge line extraction, Gabor filtering, fingerprint refinement, feature extraction, feature point filtering, based on local feature points of the feature matching and so on ... ...
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Author: 武子 |
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Description: canny检测器是很有效的边缘检测器，该函数可以实现对目标图像的边缘提取。该方法总结如下：1.图像使用带有指定标准差的高斯滤波器来平滑，以此减少噪声；2.在每一点计算局部梯度和边缘方向；3.第二步中确定的边缘点会导致梯度幅度图像中出现脊，然后追踪所有脊的顶部，并将所有不再脊顶部的像素设置为0；4.执行边缘链接-canny detector is very effective edge detector, this function can be achieved on the target image edge detection. This method is summarized as follows: 1. Image used with the specified standard deviation of the Gaussian filter to smooth out, thereby reducing the noise 2. In the calculation of each point of local gradient and edge direction 3. The second step in determining the edge points will led to the image gradient magnitude ridge appears, and then keep track of all of the top of the ridge, and ridge at the top of all the pixels are no longer set to 0 4. the implementation of the edge link
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Author: hanyantao |
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Description: 提取指纹特征点的matlab代码，很有用，利用自适应阈值进行分割，再进行频域增强，根据八邻域纹线编码进行特征提取。-Extracted fingerprint feature points of the matlab code, useful, adaptive threshold segmentation, and then increased in frequency domain, the eight neighborhood ridge coding for feature extraction.
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Size: 583680 |
Author: 李辉艳 |
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Description: 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 identification is a prerequisite. Proposed a filter based on direction and the method of fuzzy fingerprint image preprocessing algorithm, and gives the fingerprint feature extraction and post-processing algorithms. First find the fingerprint image preprocessing fingerprint orientation field, and then filtered orientation field, and finally fuzzy binary images obtained. Fingerprint feature extraction is to start to get detailed fingerprint feature points and feature points based on pseudo-angle characteristics of the ridge line and remove the false feature points.
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Size: 355328 |
Author: 陆玮 |
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Description: 有的指纹细化方法还存在细化不彻底、细化后的纹线不是单像素的问题，要快速高效的做好指纹细化，快速细化：先判断出待细化图像中指纹纹线的边界点，然后逐步将指纹纹线的边界点删除，得到快速细化图像-Refinement method, there are some fingerprints is not completely refined, refined the ridge is not a single pixel of the problem, do a quick and efficient fingerprint refinement, rapid refinement: first, to be refined to determine the fingerprint ridge image boundary point, then gradually fingerprint ridge boundary points removed, rapidly refined image
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Size: 136192 |
Author: ccc |
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Description: 指纹图像因设备、图像增强处理等原因造成的纹线断裂会产生伪特征点,会对指纹识别产生负面影响。在结
合传统方法优点的同时,针对间距大、方向偏移小和间距大、方向偏移大的断裂情况,本文设计出窗口制约法和改进的
窗口制约法2 种不同的修复方法。实验结果表明,该方法使修复更加全面、完整,提高了伪特征点去除率,易于编程实
现,对细化指纹图像的断裂有很好的修复效果。-The broken ridge fingerprint image processing equipment, image enhancement and other causes will generate pseudo-feature points to be a negative impact on fingerprint identification. While combining the traditional method has the advantage, for the spacing, direction offset small spacing, direction offset large fracture situation, this design window constraints window method and the improved two kinds of constraints, different repair methods. Experimental results show the method to fix a more comprehensive and complete removal of pseudo-feature points, easy to program, well thinned fingerprint image fracture repair.
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Size: 269312 |
Author: 东方 |
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Description: 仿射不变Harris, Laplacian, det(Hessian) and Ridge 特征点检测
参考文献：An affine invariant interest point detector , K.Mikolajczyk and C.Schmid, ECCV 02, pp.I:128-142.-Matlab code for detecting Affine spatial interest points. Includes Harris, Laplacian, det(Hessian) and Ridge interest point operators in combination with spatial scale selection based on the extrema of scale-normalized Laplacian and affine adaptation basen on second-moment matrix. Scale and shape adaptation are optional and disjoint.
Zip archive: affintpoints.zip
Ref: An affine invariant interest point detector , K.Mikolajczyk and C.Schmid, ECCV 02, pp.I:128-142.
What is in the package:
1) ineterst point detection of different kinds (Harris, Laplace, det(H), Ridge)
2) scale, shape and position adaptation procedure
3) demo examples and a script for batch-mode computation and saving of the results
what is not in the package:
- no rotation estimation
- no region descriptor computation
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Size: 901120 |
Author: 灵台斜月 |
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Description: 放射变换光束法平差；无控制点岭估计，一个控制点平移，两个平移+漂移；三个以上仿射变换(The radiation transform adjustment, the zero point ridge estimation, a control point translation, two control points translation + drifts, and more than three control points affine transformations)
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Size: 24576 |
Author: YuntaoWu
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Description: To match a Fingerprint image with a one already stored in the database.
A fingerprint image essentially consists of a set of minutiae on the plane.
Minutiae are the terminations and bifurcations of ridge lines in a fingerprint image.
A new approach towards fingerprint recognition is to match the distribution and orientation of such points.
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Size: 16533504 |
Author: willshiny |
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Description: Latent fingerprint matching has played a critical role in identifying suspects and criminals. However, compared to rolled and plain fingerprint matching, latent identification accuracy is significantly lower due to complex background noise, poor ridge quality and overlapping structured noise in latent images. Accordingly, manual markup of various features (e.g., region of interest, singular points and minutiae) is typically necessary to extract reliable features from latents. To reduce this markup cost and to improve the consistency in feature markup,
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Size: 89182 |
Author: uud123 |
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