在线签名验证中基于卡尔曼滤波的DP匹配预处理

Masahiro Tanaka, Yumi Ishino, Hironori Shimada, T. Inoue
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引用次数: 6

摘要

提出了一种仅利用位置信息进行在线签名验证的逐点匹配预处理方法。经过预处理后,可以利用签名的各种动态或局部特征进行验证。采用时变线性变换对测试信号和模型信号进行逐点匹配。利用卡尔曼滤波和平滑器估计时变变换参数。数值实验表明,该算法对实际在线签名具有较好的性能。
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DP matching using Kalman filter as pre-processing in on-line signature verification
This paper proposes the point-wise matching method which is to be used as the pre-processing in online signature verification using only the positional information. After this pre-processing, various dynamical or local features of the signature can be used in verification. The test signature and the model one are to be matched point-wise by applying time-variant linear transformation. Kalman filter and the smoother are used for estimating the time-variant transformation parameters. Numerical experiment shows quite a good performance for real online signatures.
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