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A new affine registration algorithm applied to off-line signature verification

机译:一种新的仿射配准算法应用于离线签名验证

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摘要

Signature identification and verification is considered among the most popular biometric methods in the area of personal authentication. The proposed method is based on offline signature verification by a novel algorithm for affine registration of true and false signatures 2D point sets. In the novel algorithm, each point in true and false signature is considered as a complex number and from each point set, a polynomial with complex coefficients can be computed whose roots are the points in the given point set. Then a verification function is achieved based on a difference between the points which can be determined by an unknown rotation. In order to archive the rotation, two-step algorithm is employed. We first reduce the affine registration problem to a rigid registration problem, and the unknown rotation is then computed using the coefficients of these polynomials. The algorithms have shown promising results while dealing with random forgeries and simple forgeries, also it gives better recognition rates in a public signature database.
机译:签名识别和验证被认为是个人认证领域中最流行的生物识别方法。所提出的方法基于离线签名验证,该离线签名验证是通过对真假签名二维点集进行仿射配准的新算法。在新颖的算法中,将具有正确和错误签名的每个点视为一个复数,并且可以从每个点集中计算出具有复杂系数的多项式,其多项式的根是给定点集中的点。然后基于可以通过未知旋转确定的点之间的差异实现验证功能。为了存档旋转,采用了两步算法。我们首先将仿射配准问题简化为刚性配准问题,然后使用这些多项式的系数计算未知旋转。该算法在处理随机伪造和简单伪造时已显示出令人鼓舞的结果,并且在公共签名数据库中具有更高的识别率。

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