Description: 指纹识别的源码，包括图形图像的预处理，平滑，去燥，和细化，是比较全面地变成知道，适合新手学习使用-Fingerprint Identification of the source code, including the graphics image preprocessing, smooth, to the dry, and thinning, is to become a more comprehensive know, learning to use for novice Platform: |
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Author:ming |
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Description: 介绍fft指纹增强算法，该源码测试可行。希望对大家有用。-Introduction fft fingerprint enhancement algorithm, the source test feasible. Hope useful for all of us. Platform: |
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Author:刘红莉 |
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Description: matlab处理指纹图像，由于指纹的唯一性、可靠性和稳定性，指纹已成为身份识别和鉴定的一个重
要标志，并被公认为“物证之首”。指纹识别作为一种生物识别技术，历来受到人们的广泛关注和重视，是未来个人身份认证的重要组成部分。-Fingerprint image processing matlab，Because the uniqueness of fingerprints, reliability and stability,fingerprint identification has become an important symbol of appraisal,and is recognized as the "first" material.The fingerprint identified as a kind of biometrics,has received extensive attention of,the individual identity authentication is the important component.Based on the MATLAB software applications for tools,for fingerprint image preprocessing and feature extraction technology research.Including pretreatment part involves by different methods of fingerprint image segmentation to extract valid area,with the improvement of OPTA thinning algorithm for thinning,
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Author:赖晓燕 |
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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 Platform: |
Size: 200704 |
Author:martin |
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Description: 在频域对指纹图像进行增强，也适用于其他图像，在“imread( )”语句中更改您所需增强的图像即可。-In the frequency domain of fingerprint image enhancement, but also to other images, in the " imread (' ' )" statement required to change your image can be enhanced. Platform: |
Size: 1024 |
Author:sjh |
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Description: 本文详细介绍了指纹识别技术的预处理算法，其中包括MATLAB算法仿真部分和DSP实现部分，并着重研究了预处理算法中的指纹图像归一化、图象滤波增强、图像分割、二值化、细化等关键技术。本文提出了改进的Gabor滤波算法，同时对其他预处理部分算法进行了优化，并将傅立叶分析方法应用于指纹图象处理研究中，采用MATLAB实现了本文讨论的所有算法。-This paper describes a fingerprint recognition algorithm technologies, including part of MATLAB simulation and DSP algorithms to achieve part of, and focus on the pre-processing algorithm of fingerprint image normalization, image enhancement filter, image segmentation, binarization, refining and other key technologies. In this paper, the Gabor filtering algorithm to improve at the same time some of the other pre-processing algorithm optimization, and Fourier analysis method has been applied to study of fingerprint image processing using MATLAB realized all the algorithms discussed in this paper. Platform: |
Size: 5605376 |
Author:孙丽平 |
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Description: 关于指纹识别的一些利用matlab进行图像预处理的源程序-Some of the use of fingerprint matlab source code for image preprocessing Platform: |
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Author:Kaka |
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Description: 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 Platform: |
Size: 68608 |
Author:Gaurav mittal |
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Description: 本文用matlab实现了指纹图像的对比度增强、有效区域的选取、指纹图像的二值化、指纹的特征值提取等。并选取较好的处理步骤和算法参数解决指纹图像预处理的问题。-Using matlab fingerprint image contrast enhancement, selection of effective regional, the binarization of fingerprint images, fingerprint eigenvalue extraction. And select the better the processing steps and the algorithm parameters to solve the problem of fingerprint image. Platform: |
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Author:morningdra |
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Description: 本文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。
该课题为基于MATLAB的指纹识别系统，带有丰富的人机交互GUI界面。目前毕业设计选题中，传统指纹识别不易得到高分，基本都是对指纹进行处理，而没有比对两者指纹是不是同一个人，轻易被导师被否决。因此建议做成两个指纹进行比对，输出结果，以文字和声音方式播报结果。整个设计在一个GUI界面上完成。(This paper mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing fingerprint image, the redundant part of the original image is removed to facilitate the subsequent recognition processing; feature extraction is mainly to extract the endpoint and bifurcation points after thinning fingerprint image; feature matching is to determine two images by comparing the feature points of two fingerprint images Whether it comes from the same finger.) Platform: |
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Author:王春水 |
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Description: 本设计为基于MATLAB的指纹识别系统。本设计系统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：图像灰度化、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 identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.) Platform: |
Size: 3789824 |
Author:www.wobishe.com |
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Description: 本设计为基于MATLAB的指纹识别系统。带GUI可视化平台。本设计系统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：图像灰度化、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 based on Matlab fingerprint identification system. With GUI visualization platform. This design system mainly processes fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image graying, filtering enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine two images by comparing the feature points of two fingerprint images If it comes from the same finger.) Platform: |
Size: 3466240 |
Author:MATLAB道长 |
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