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Vascular biometrics based on a minutiae extraction approach

机译:基于细节提取方法的血管生物识别

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In this paper, the authors will describe a new algorithm based on minutiae extraction which is inspired by currently fingerprint systems, but adapted to the own characteristics of vein patterns. All the steps of the system, from the image pre-processing to the comparison algorithm, are described, including also the biometric feature extraction process. After describing the system, some obtained results are detailed. The algorithm proposed has been tested with two different databases: one database acquired by the authors, using a self-designed sensor; and one semi-publicly accessible database. These results do not only show the low error rates obtained but also the universality of the proposed system, as well as the ease of adapting the algorithm to cope with the different characteristics of each database
机译:在本文中,作者将描述一种基于细节提取的新算法,该算法受当前指纹系统的启发,但适应了静脉模式的自身特征。描述了系统的所有步骤,从图像预处理到比较算法,包括生物特征提取过程。描述系统后,将详细描述一些获得的结果。所提出的算法已在两个不同的数据库中进行了测试:一个是作者使用自行设计的传感器获得的数据库;另一个是由作者设计的数据库。和一个半公开访问的数据库。这些结果不仅表明所获得的错误率低,而且还表明了所提出系统的普遍性,并且易于调整算法以应对每个数据库的不同特征。

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