Offline geometric parameters for automatic signature verification using fixed-point arithmetic
Offline geometric parameters for automatic signature verification using fixed-point arithmetic
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DOI：
10.1109/tpami.2005.125
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发表时间：
2005-06-01
影响因子：
23.6
通讯作者：
Travieso, CM
中科院分区：
文献类型：
--
作者：
Ferrer, MA;Alonso, JB;Travieso, CM
本文在描述签名包络和内部笔画分布的基础上，提出了一组用于离线自动签名验证的几何签名特征。这些特征使用16位定点算法计算，并使用不同的分类器进行测试，例如隐马尔可夫模型，支持向量机和欧氏距离分类器。实验结果表明，在识别随机和简单的任务，有希望的结果。
This paper presents a set of geometric signature features for offline automatic signature verification based on the description of the signature envelope and the interior stroke distribution in polar and Cartesian coordinates. The features have been calculated using 16 bits fixed-point arithmetic and tested with different classifiers, such as hidden Markov models, support vector machines, and Euclidean distance classifier. The experiments have shown promising results in the task of discriminating random and simple forgeries.