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Statistical Displacement Analysis for Handwriting Verification

机译:手写验证的统计位移分析

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In this paper, it is assumed that each writer has his or her own statistics of handwriting displacement, therefore a statistical displacement analysis for handwriting verification is proposed. Here, a reg-ularization method with the coarse-to-fine strategy computes the displacement function in questionable handwritten letters, and then it is normalized to remove the noisy displacement that arises from the position drift and scaling variation. Finally, the normalized displacement function and the statistics of displacement obtained in advance from registered authentic letters are used to calculate the distance from a standard handwritten letter to a questionable one. A fundamental simulation was conducted in order to evaluate the performance of the proposed method.
机译:在本文中,假设每个作家都有他或她自己的手写位移统计数据,因此提出了一种用于手写验证的统计位移分析。这里,具有粗致细策略的Reg-Ularization方法计算在可疑的手写字母中的位移函数,然后归一化以去除从位置漂移和缩放变化产生的噪声位移。最后,从注册的真实字母预先获得的归一化位移函数和位移的统计数据用于计算与标准手写字母到可疑的字母的距离。进行了基本模拟,以评估所提出的方法的性能。

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