Description: 指纹分割算法，能够很好的实现指纹图像前景和背景的分离，通过对FVC指纹数据库的测试，效果很好，有GUI接口，可以很方便的测试。以前没有人发过，绝对超值。。。更多的代码请看http://biometrics.lingd.net/，领先的指纹人脸等生物特征识别算法-fingerprint segmentation algorithm can achieve good prospects for fingerprinting and background images, the separation, Through the FVC fingerprint database tests, the results are very good, with GUI interface, it is easy test. No one has made that absolutely excellent. . . See more http://biometrics.lingd.net/ code, The people leading fingerprint biometrics, such as face recognition algorithm Platform: |
Size: 542198 |
Author:洋洋 |
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Description: 指纹分割算法，能够很好的实现指纹图像前景和背景的分离，通过对FVC指纹数据库的测试，效果很好，有GUI接口，可以很方便的测试。以前没有人发过，绝对超值-fingerprint segmentation algorithm can achieve good prospects for fingerprinting and background images, the separation, Through the FVC fingerprint database tests, the results are very good, with GUI interface, it is easy test. No one has made that absolutely excellent. . . See more http://biometrics.lingd.net/ code, The people leading fingerprint biometrics, such as face recognition algorithm Platform: |
Size: 541696 |
Author:天天向上 |
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Description: 以GUI实现指纹的识别和匹配百分比,中间有对指纹的二值化，M连接，特征提取等处理-GUI fingerprint recognition and matching percentage, the middle of the fingerprint binarization M connection, feature extraction and processing Platform: |
Size: 360448 |
Author:娜 |
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Description: 指纹识别的完整程序，并且有GUI界面，挺好的指纹识别资料-A complete fingerprint recognition procedures, and there GUI interface, very good fingerprint data Platform: |
Size: 198656 |
Author:陈佩佩 |
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Description: 首先对指纹图像进行预处理，包括图像的分割，增强，二值化，细化。对细化后的图像进行特征点的提取，最后通过细节特征匹配完成指纹的识别。(Firstly, the fingerprint image is preprocessed, including image segmentation, enhancement, binarization and thinning. The refined image is extracted by feature points, and the fingerprint recognition is completed by minutiae feature matching.) Platform: |
Size: 700416 |
Author:qwerer22 |
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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: |
Size: 2781184 |
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 MATLAB feature point matching. With a GUI interface. Fingerprint image is mainly processed in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter 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 the two images by comparing the feature points of two fingerprint images Is it from the same finger.) Platform: |
Size: 3682304 |
Author:可乐一生 |
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