在线签名验证:基于全局特征聚类表示的方法

D. S. Guru, H. Prakash, S. Manjunath
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引用次数: 9

摘要

本文提出了一种基于聚类签名的在线签名表示方法。我们的想法是通过基于全局特征的聚类签名来提供更好的表示。利用每个聚类签名的全局特征组成区间值特征向量,作为聚类的符号表示。提出了基于聚类表示的签名验证方法。在包含16500个签名的大型MCYT_签名库上比较了所提出的签名验证表示方案的可行性。与其他签名验证方法不同的是,该方法简单、高效,并且显著降低了EER。
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: An Approach Based on Cluster Representations of Global Features
In this paper, we propose a new method of representation of on-line signatures by clustering of signatures. Our idea is to provide better representation by clustering of signatures based on global features. Global features of signatures of each cluster are used to form an interval valued feature vector which is a symbolic representation for a cluster. Based on cluster representation, we propose methods of signature verification. We compare the feasibility of the proposed representation scheme for signature verification on a large MCYT_ signature database of 16500 signatures. Unlike other signature verification methods, the proposed method is simple and efficient and in addition, shows a remarkable reduction in EER.
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