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A novel texture-based Automatic Fingerprint Authentication System (AFAS) is proposed. A fingerprint image is preprocessed to enhance the image by Short Time Fourier Transform (STFT) analysis. Then, three sets of invariant moment features, as a kind o
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全指纹的小波压缩与图像存储子程序，左边是指纹图像原图，右边是指纹图像经过小波滤波处理后的图像-Wavelet compression and the whole fingerprint image stored subprogram, the left is the fingerprint image artwork, the right is the fingerprint image after image after wavelet filtering
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能够实现对灰度图像进行小波分解，并且分别利用低频和高频系数重构图像-Can be achieved on the gray image using wavelet decomposition and the use of low frequency and high frequency coefficients respectively, the reconstructed image
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针对小波变换在指纹识别中的应用，提出了一种基于小波变换的图像增强算法，利用低频系数图像在小波域估计指纹纹线方向，抑制了高频噪声对纹线方向的影响，实验表明，该算法对纹线模糊的指纹图像增强效果明显。-According to the fingerprint identification of wavelet transform in the application, and puts forward a kind of image based on wavelet transform enhance
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A new approach for fingerprint verification, based on wavelets and pseudo Zernike moments (PZMs), is
discussed. PZMs are robust to noisy images, invariant to rotation and have a good image reconstruction
capability [4]. PZMs have been used for
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基于Haar小波变换的快速指纹识别算法，包含一篇本科论文-Fast Haar Wavelet Transform based fingerprint recognition algorithm, including an undergraduate thesis
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本论文对指纹图像基于小波变换的各种处理进行了分析、总结。图像处理包括基于小波变换的指纹图像滤波处理和基于小波的指纹图像增强处理。同时介绍指纹图像的预处理：目的是去除指纹图像中的噪音，将其转化为一幅清晰的点线图，便于提取正确的指纹特征。它分四步进行，即灰度滤波、二值化、二值去噪、细化。-The paper fingerprint image processing based on wavelet transform analysis summary. Image processing, inclu
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毕业写的指纹识别代码，本代码设计了图像滤波处理、图像增强、图像锐化等算法及VC++编程实现。从基于小波变换的图像滤波处理试验结果可以看到，低（高）通滤波去除高（低）频带的小波系数，保留低（高）频带的小波系数，结果保持了图像信息，达到了较好的滤波效果-Graduation write fingerprint identification code, the code is designed image filtering, image enhancement, image sharpening a
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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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