Functional Components of Variation in Handwriting
Functional Components of Variation in Handwriting
复制标题
笔迹变化的功能成分
DOI：
10.1080/01621459.2000.10473894
复制
发表时间：
2000
影响因子：
3.7
通讯作者：
James O. Ramsay
中科院分区：
文献类型：
--
作者：
James O. Ramsay
摘要 使用函数数据分析技术来分析中文笔迹样本。目标是 (a) 确定一个能够令人满意地模拟数据动态的微分方程，以及 (b) 使用该模型对取自不同个体的笔迹样本进行分类。经过初步的平滑和配准步骤后，发现一个二阶线性微分方程（其强迫函数很小）可以很好地重建原始脚本记录。该方程还能够捕获复制过程中脚本中的大量变化。交叉验证的分类过程对于分析的样本 100% 有效。
Abstract Functional data analysis techniques are used to analyze a sample of handwriting in Chinese. The goals are (a) to identify a differential equation that satisfactorily models the data's dynamics, and (b) to use the model to classify handwriting samples taken from differential individuals. After preliminary smoothing and registration steps, a second-order linear differential equation, for which the forcing function is small, is found to provide a good reconstruction of the original script records. The equation is also able to capture a substantial amount of the variation in the scripts across replication. The cross-validated classification process is 100% effective for the samples analyzed.