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这是一个完整的非细节点匹配的指纹识别系统，是一种非常经典的方法，很实用-This is a complete non-minutiae fingerprint verification system and it is classical and helpful for you
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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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Gabor滤波器在基于细节点的指纹识别中的应用-Gabor filter in minutiae-based fingerprint recognition
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Fingerprint Indexing Based on Novel Features of Minutiae Triplets
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FINGERPRINT MATCHING USING MINUTIAE AND TEXTURE FEATURES
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Fingerprint minutiae extraction from skeletonized binary images
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This is a complete documentation about fingerprint recognition. Binarization, Block Filte, Minutiae Extractio, Minutiae Matching, Algorithm
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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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一种基于特征点的指纹识别方法.该程序利用2副指纹图像间对应的欧几里得距离，比通常基于细枝末节方法速度有了大幅提高。-Feature points based on fingerprint recognition. The program utilizes two fingerprint images Euclidean distance between the corresponding than the usual minutiae-based approach speed has been
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指纹匹配仍然是一个具有挑战性的问题,可靠的人身份验证,因为复杂的扭曲参与两个印象相同的手指。因为绝大多数的指纹匹配算法依赖于细节匹配,细节信息被认为是自动指纹识别系统非常重要的特性。误判率系统的准确性取决于图像质量,图像增强方法、特性提取算法,和以前特性集
-Fingerprint matching is still a challenging problem for reliable person authentication because of the complex distorti
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一套基于指纹细节点特征的指纹识别程序源码-A minutiae-based fingerprint identification features Open Source
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里面有指纹图片包，以及对于对于指纹图像细节点提取的所有matlab程序-Fingerprint picture package, as well as for all MATLAB procedure for minutiae extraction in fingerprint images
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对指纹的细节点进行识别，分为预处理部分，方向场，频率场，指纹增强，去除伪细节点部分-To identify the fingerprint minutiae is divided into preprocessing part, orientation field and frequency field, the fingerprint enhancement, remove the pseudo minutiae part
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To match a Fingerprint image with a one already stored in the database.
A fingerprint image essentially consists of a set of minutiae on the plane.
Minutiae are the terminations and bifurcations of ridge lines in a fingerprint image.
A new appro
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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 fingerpr
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