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An intelligent online signature verification system

机译:智能的在线签名验证系统

摘要

The study of human signatures has a long history, but online signature verification is still an active topic in the field of biometrics. This chapter starts with a detailed survey of recent research progress and commercial products, then proposes a typical online dynamic signature verification system based on time-dependent elastic curve matching. Rather than using special dynamic features such as pen pressure and incline, this system uses the 1D curves of signatures which can be captured using a normal tablet. Static and dynamic features can be well extracted from these two curves about x- and y-coordinates and applied to verification. To improve the performance, we introduce into the system different local weight, personal threshold and auto-update algorithms for reference samples. Finally, we present applications of online signature verification for PDAs and in Internet E-commerce.
机译:对人类签名的研究历史悠久,但是在线签名验证仍然是生物识别领域的活跃主题。本章从对最新研究进展和商业产品的详细调查开始,然后提出一种基于时变弹性曲线匹配的典型在线动态签名验证系统。该系统没有使用诸如笔压和倾斜度之类的特殊动态功能,而是使用可以使用普通数位板捕获的签名的一维曲线。可以从关于x和y坐标的两条曲线中很好地提取静态和动态特征,并将其应用于验证。为了提高性能,我们将不同的本地体重,个人阈值和参考样本自动更新算法引入系统。最后,我们介绍了PDA和Internet电子商务中在线签名验证的应用。

著录项

  • 作者

    Li B; Zhang D;

  • 作者单位
  • 年度 2005
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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