Off-line Signature Verification Using Writer-Independent Approach

Luiz Oliveira, E. Justino, R. Sabourin
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引用次数: 43

Abstract

In this work we present a strategy for off-line signature verification. It takes into account a writer-independent model which reduces the pattern recognition problem to a 2-class problem, hence, makes it possible to build robust signature verification systems even when few signatures per writer are available. Receiver operating characteristic (ROC) curves are used to improve the performance of the proposed system . The contribution of this paper is two-fold. First of all, we analyze the impacts of choosing different fusion strategies to combine the partial decisions yielded by the SVM classifiers. Then ROC produced by different classifiers are combined using maximum likelihood analysis, producing an ROC combined classifier. Through comprehensive experiments on a database composed of 100 writers, we demonstrate that the ROC combined classifier based on the writer-independent approach can reduce considerably false rejection rate while keeping false acceptance rates at acceptable levels.
使用独立于写者的方法进行离线签名验证
在这项工作中,我们提出了一个离线签名验证策略。它考虑了一个独立于编写器的模型,该模型将模式识别问题减少为两个类问题,因此,即使每个编写器可用的签名很少,也可以构建健壮的签名验证系统。采用受试者工作特征(ROC)曲线来改善系统的性能。本文的贡献是双重的。首先,我们分析了选择不同的融合策略来组合支持向量机分类器产生的部分决策的影响。然后利用最大似然分析将不同分类器产生的ROC进行组合,得到ROC组合分类器。通过对由100个编写者组成的数据库的综合实验,我们证明了基于编写者独立方法的ROC组合分类器可以大大降低错误拒绝率,同时将错误接受率保持在可接受的水平。
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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