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Automated Identity Verification Based on Hand Shapes

机译:基于手形的自动身份验证

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摘要

In this paper we present a method for identity verification based on matching of hand shapes. Our method first represents the shapes of hands by sets of ordered points. Next we match the two sets of points using our developed point matching algorithm based on deterministic annealing and compute matching parameters. Considering the research of hand shapes verification usually work in practical cases of limited or small samples, we develop Support Vector Machine classifier for verification. We also present our preliminary verification results based on a small hand shapes database. The results show the effectiveness of our method.
机译:在本文中,我们提出了一种基于手形匹配的身份验证方法。我们的方法首先通过一组有序点表示手的形状。接下来,我们使用基于确定性退火的发达点匹配算法来匹配两组点,并计算匹配参数。考虑到手形验证的研究通常适用于有限或少量样本的实际情况,我们开发了支持向量机分类器进行验证。我们还基于小型手形数据库提供了初步验证结果。结果表明了该方法的有效性。

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