A New Algorithm and System for the Characterization of Handwriting Strokes with Delta-Lognormal Parameters
A New Algorithm and System for the Characterization of Handwriting Strokes with Delta-Lognormal Parameters
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DOI：
10.1109/tpami.2008.264
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发表时间：
2009-11-01
影响因子：
23.6
通讯作者：
Plamondon, Rejean
中科院分区：
文献类型：
--
作者：
Djioua, Moussa;Plamondon, Rejean
本文提出了一种估计Delta-对数正态函数参数和刻画手写笔画的新的解析方法。根据人体快速运动的运动学理论，这些参数包含有关运动指令和神经肌肉系统的计时特性的信息。新的算法称为XZERO，它利用了对数正态函数的一次和二次导数的零点交叉与其四个基本参数之间的关系。描述了该方法，并在不同的测试条件下对其进行了评估。新工具允许自动处理更多种类的笔画模式。此外，首次利用将提取误差的离散度与其信噪比联系起来的指数关系来量化提取精度。文中还描述了一个新的提取系统，它将该算法与其他两种已发表的方法相结合，并对其进行了评估。该系统为模式分析和人工智能各个领域的研究人员提供了新的工具，为理解快速人体运动的单笔画的基础研究提供了新的工具。
In this paper, we present a new analytical method for estimating the parameters of Delta-Lognormal functions and characterizing handwriting strokes. According to the Kinematic Theory of rapid human movements, these parameters contain information on both the motor commands and the timing properties of a neuromuscular system. The new algorithm, called XZERO, exploits relationships between the zero crossings of the first and second time derivatives of a lognormal function and its four basic parameters. The methodology is described and then evaluated under various testing conditions. The new tool allows a greater variety of stroke patterns to be processed automatically. Furthermore, for the first time, the extraction accuracy is quantified empirically, taking advantage of the exponential relationships that link the dispersion of the extraction errors with its signal-to-noise ratio. A new extraction system which combines this algorithm with two other previously published methods is also described and evaluated. This system provides researchers involved in various domains of pattern analysis and artificial intelligence with new tools for the basic study of single strokes as primitives for understanding rapid human movements.