在线签名验证:利用加权相对角度分区利用特征间依赖关系的签名方向分析

M. T. Ibrahim, M. Kyan, M. A. Khan, K. Alimgeer, L. Guan
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引用次数: 7

摘要

本文提出了一种新的在线签名方向分析工具,该工具基于相对角度将给定的输入签名分解为多个方向带。我们的方向分析工具以独立的轨迹(水平和垂直)作为输入,然后根据相对角度将它们分解成方向带。我们使用了依赖于用户和独立于用户的阈值来为每个签名者选择最优的分区数量。通过根据个人签名的相对角度分解签名轨迹,结果过程可以被认为是利用特征间依赖关系的过程。在验证阶段,测试签名的每个分区轨迹的距离是根据已知签名者的类似分区模板轨迹计算的。然后根据每个分区的质量和数量对其进行加权。实验结果表明,该方法与其他技术相比具有优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On-Line Signature Verification: Directional Analysis of a Signature Using Weighted Relative Angle Partitions for Exploitation of Inter-Feature Dependencies
In this paper, we propose a new directional analysis tool for On-line signatures that decomposes the given input signature into directional bands on the basis of relative angles. Our directional analysis tool takes the independent trajectories (horizontal and vertical) as an input and then decomposes them into directional bands on the basis of relative angles. We have used both user-dependent and user-independent thresholds for selecting an optimal number of partitions for each signer. By decomposing signature trajectories based upon relative angles of an individual’s signature, the resulting process can be thought of as one that exploits inter-feature dependencies . In the verification phase, distances of each partitioned trajectory of a test signature are calculated against a similarly partitioned template trajectory for a known signer. Each partition is then weighted based on its quality and quantity. Experimental results demonstrate the superiority of our approach to On-line signature verification in comparison with other techniques.
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