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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
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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
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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
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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
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此代码可以进行指纹识别，包括预处理，特征提取，分类识别,this code can fingerprint identification, including preprocessing, feature extraction, classification, etc.
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指纹识别的源码，对指纹图像进行预处理，特征提取和比对，看是否匹配-Fingerprint the source of the fingerprint image preprocessing, feature extraction and matching to see if it matches
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指纹模式识别预处理演示（特征点获取）
包括梯度方向场确认 图像分割二值化细化处理 标记特征点演示-Fingerprint pattern recognition preprocessing Demo (feature points to obtain), including the direction of field gradient confirmed the binary segmentation of feature points marked thinning demonstrat
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对指纹图像进行图像提取，图像预处理和特征提取。-The fingerprint image, image preprocessing and image extracting feature extraction.
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指纹的预处理及识别的源代码，指纹识别系统的源代码-Preprocessing and fingerprint identification of the source code, source code for fingerprint recognition system
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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
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指纹细节提取主要分为两大步骤，即指纹的预处理、特征点的提取、伪特征点去除三个步骤。-Fingerprint minutiae extraction is divided into two steps, fingerprint preprocessing, feature point extraction, pseudo feature points, removal of three steps.
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指纹识别算法的预处理模块,包括梯度场、方向场、细化、智能增强、二值化、标记等。-Fingerprint recognition algorithm preprocessing module, including gradient field, the direction field, refinement, intelligence enhancement, binary, and other markings.
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这是一个用C++编写的简单的指纹识别系统，对指纹图像进行预处理，特征提取，比对。可以判断两个指纹是否属于同一指纹，并显示结果。-It is written in C++ a simple fingerprint identification system, fingerprint image preprocessing, feature extraction, comparison. It can determine whether two fingerprints belong to the
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