使用书法特征进行离线写信人识别

2013 47th International Carnahan Conference on Security Technology (ICCST) Pub Date : 2013-10-01 DOI:10.1109/CCST.2013.6922062

J. L. Vásquez, C. Travieso, J. B. Alonso

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引用次数: 3

摘要

这项工作提出了一种基于图形学和法医学特征的离线写作者识别方法。我们选取了一组对文字具有独立性，对文字的自然变化具有一定稳定性的特征。该系统使用带有RBF内核的LS-SVM分类器，对100个用户组成的自有数据库，每个用户10个样本，成功率高达99.1%。

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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Using calligraphies features for off line writer identification

This work proposes an off-line writer identification approach based on graphometrical and forensic features. We selected a set of features with independence of the text and some stability degree to natural changes in the writing. The system uses the LS-SVM classifier with RBF kernel, reaching up to 99.1% of success rate for an own database composed by 100 users with 10 samples per each one.

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2013 47th International Carnahan Conference on Security Technology (ICCST)

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