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1下载:
指纹识别各个源代码,包括图像处理、特征提取、模板比对等-Fingerprint identification of the source code, including image processing, feature extraction, template equivalence
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基于matlab的指纹识别系统研究 指纹图像预处理部分-fingerprint identification based on matlab
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matlab 的指纹识别中特征点提取代码部分-matlab code for fingerprint feature point extraction
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指纹解锁中的部分功能,主要有二值化和细化,后期处理正在进行(Part of the function of fingerprint unlocking is mainly two valued and refined, and the later processing is under way)
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matlab版本的指纹识别,可以实现指纹的记忆,然后进行识别,有GUI界面(Matlab version of fingerprint identification, fingerprint memory can be achieved, and then identification, there is GUI interface)
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loseless compression image processing concept
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指纹识别的matlab源码,基于二进小波变换的图像增强matlab源代码,通过编译(Fingerprint recognition MATLAB source code, based on the binary wavelet transform image enhancement matlab source code, through the compilation)
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hi_we are working to finger print by matlab
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代码流程包含:规格化,图像分割,图像平滑滤波,图像增强,图像二值化,图像细化,提取特征,指纹识别(The code includes image normalization, image segmentation, image smoothing and filtering, image enhancement, image binaryzation, image thinning, feature extraction, and fingerprint identification.)
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纹理识别,LTV,通过求梯度,进而求图像的局部总变差,对指纹图像进行纹理提取(Texture recognition, LTV, by seeking gradient, and then find the local image of the total variation, the fingerprint image texture extraction)
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fingervein authentication
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fingerprint extraction for the genuine person login
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finger print recongntion
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实现指纹图像的细化。
实现指纹图像的特征点提取。
实现特征图像的细化去伪。
编写代码实现上述功能。(The thinning of the fingerprint image is realized.
The feature point extraction of fingerprint image is realized.
To realize the refinement of the feature image.
Write the code to implement t
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可以实现室内定位跟踪,采集采样点的RSS为指纹库,计算观测点的RSS与指纹库匹配,从而确定观测点的位置,选取的采样点比较少,可以实现简单的定位。(Indoor location and tracking can be achieved. The RSS of the sampling point is taken as the fingerprint library, and the matching between RSS and fingerprint Library of the obse
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指纹识别系统,包括源代码及图片。非原创。(The fingerprint identification system, including the source code and the picture. Not original)
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matlab code-principal-component-analize
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基于对指纹的完整脊状结构的显式检测的表征。
在指纹上有丰富的歧视性信息的重要组成部分。当地的脊
结构不能完全以细节为特征。这个基于过滤的算法使用了一个Gabor过滤器来捕获本地和全局的细节。
指纹作为一种紧凑的固定长度的指纹。指纹匹配是基于欧几里德的。
两个对应的指纹之间的距离是非常快的。我们能够实现a。
验证精度仅略低于基于细节的算法的最佳结果。
发表在开放文学。我们的系统比先进的基于细节的系统性能更好。
当应用系统的性能要求不要求非常低的错误接受率时。
最后,我们证明了匹配的性能可以通过结合
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Fingerprint matching algorithm using shape context and orientation descr iptors
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利用边缘检测,膨胀 腐蚀 开操作 闭操作将指纹的模糊噪声与指纹区分开来(Differentiate fingerprint blurring noise from fingerprint)
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