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Model-based shape matching with structural feature grouping

机译:基于模型的形状匹配和结构特征分组

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摘要

An essential problem in online handwriting recognition is the shape variation along with the variety of stroke number and stroke order. In this paper we present a clear and systematic approach to shape matching based on structural feature grouping. To cope with topological deformations caused by stroke connection and breaking, we incorporate some aspects of top-down approaches systematically into the shape matching algorithm. The grouping of local structural features into high-level features is controlled by high-level knowledge as well as the simple geometric conditions. The shape matching algorithm has the following properties from the viewpoint of online character recognition: (1) stroke order, direction, and number are free, and (2) stroke connection and breaking are allowed.
机译:在线手写识别中的一个基本问题是形状变化以及笔划数和笔划顺序的变化。在本文中,我们提出了一种基于结构特征分组的清晰而系统的形状匹配方法。为了应对由笔触连接和断开引起的拓扑变形,我们将自顶向下方法的某些方面系统地整合到形状匹配算法中。局部结构特征到高级特征的分组是由高级知识以及简单的几何条件控制的。从在线字符识别的角度来看,形状匹配算法具有以下特性:(1)笔画顺序,方向和数字是自由的,并且(2)允许笔画连接和断开。

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