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HIGH PRECISION ON-LINE DYNAMIC SIGNATURE VERIFICATION SYSTEM

机译:高精度在线动态签名验证系统

摘要

handwritten data verification, is obtained based on the comparison of the dynamics of a sample and a reference signature by use of a new implementation of correlation function analysis. The dynamic data concerning scriber movement during the process of signature making is recorded and converted to digital form. Prior to correlation function analysis for evaluating a to-be-verified signature, reference signature dynamic data and to-be-verified signature dynamic data digital signals are pre-processed to eliminate time distortions. The compared signals are reduced to the same time scale, thereby providing a frequency coincidence between the signals. A 'sliding window' mechanism is used to establish the mapping between phase coincident regions of the reference and of the to-be-verified signals. Then the multi-dimensional cross-correlation function analysis is applied to the pair of indivisible stationary signals. The sliding window mechanism provides two additional criteria to distinguish between authentic and forged signatures by determination of different characteristics of time distortions for such signals. The resulting measures of similarity are then compared with thresholds that have been selected to determine acceptance or rejection of the signature.
机译:通过使用相关函数分析的新实现,根据样品动力学和参考签名的比较获得手写数据验证。记录签名过程中与划刀运动有关的动态数据,并将其转换为数字形式。在用于评估待验证签名的相关函数分析之前,对参考签名动态数据和待验证签名动态数据数字信号进行预处理,以消除时间失真。比较的信号被减小到相同的时间尺度,从而在信号之间提供频率一致。 “滑动窗口”机制用于在参考信号和待验证信号的相位一致区域之间建立映射。然后将多维互相关函数分析应用于一对不可分割的平稳信号。滑动窗口机制提供了两个附加标准,通过确定此类信号的时间失真的不同特征来区分真实签名和伪造签名。然后将所得的相似性度量与已选择用于确定签名接受或拒绝的阈值进行比较。

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