Simply Partitioned DP Matching and Threshold Equalizing in DWT Domain On-line Signature Verification

I. Nakanishi, Shingo Nakatani, S. Koike
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引用次数: 1

Abstract

In this paper, we introduce simply partitioned DP (dynamic programming) matching and threshold equalizing into the verification process in DWT (discrete wavelet transform) domain on-line signature verification in order to improve the performance. The simply partitioned DP matching divides both data series (verification and template data) into several partitions and calculate sub DP distance every partition. Even if mismatched pairs are caused in each partition, they are initialized at the beginning of the next partition and matching errors could be reduced. The threshold equalizing suppresses the variation range of optimal thresholds for all users (signatures), so that it prevents the verification performance from degrading by common use of single threshold for all users. In particular, we propose two equalizing methods in which the relation between the number of sampled data and optimal thresholds in signatures are approximated and adjusted by linear and nonlinear functions. In verification experiments using the signature database: SVC2004, it is confirmed that the proposed methods are effective for improving the performance.
DWT域在线签名验证中的简单分割DP匹配与阈值均衡
为了提高离散小波变换域在线签名验证的性能,本文在验证过程中引入了简单的动态规划匹配和阈值均衡方法。简单分区DP匹配将数据序列(验证数据和模板数据)划分为多个分区,每个分区计算子DP距离。即使在每个分区中都造成了不匹配的对,在下一个分区开始时对它们进行初始化,这样可以减少匹配错误。阈值均衡抑制了所有用户(签名)的最优阈值的变化范围,从而避免了对所有用户普遍使用单一阈值而导致验证性能下降的问题。特别地,我们提出了两种均衡方法,其中采样数据数量与签名中最优阈值之间的关系由线性和非线性函数近似和调整。在SVC2004特征库的验证实验中,验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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