On-line signature verification using wavelet packet

Kaiyue Wang, Yunhong Wang, Zhaoxiang Zhang
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引用次数: 23

Abstract

In this paper, we propose a novel approach for on-line signature verification using wavelet packet. Signatures are first normalized and resampled, thus they have the same number of sample points. Then, several types of local features are extracted, so that wavelet transform can be applied on them. After that, we conduct experiments to select the best local features, wavelet bases and wavelet packet settings. Also, experiments are carried out to verify the reliability and efficiency of our approach, which performs better than discrete wavelet transform and competes with the state-of-arts.
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基于小波包的在线签名验证
本文提出了一种基于小波包的在线签名验证方法。首先将签名归一化并重新采样,因此它们具有相同数量的采样点。然后,提取几种局部特征,对其进行小波变换;然后,通过实验选择最佳的局部特征、小波基和小波包设置。通过实验验证了该方法的可靠性和有效性,其性能优于离散小波变换,具有一定的竞争力。
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