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Spatial Similarity Based Stroke Number and Order Free Clustering

机译:基于空间相似性的笔划号和订单免费群集

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In this paper, we present an innovative approach to integrate spatial relations in stroke clustering for handwritten Devanagari character recognition. It handles strokes of any number and order, writer independently. Learnt strokes are hierarchically agglomerated via Dynamic Time Warping based on their location and their number and stored accordingly. We experimentally validate our concept by showing its ability to improve recognition performance on previously published results.
机译:在本文中,我们提出了一种创新的方法,以整合手写群体字符识别中风群中的空间关系。它独立地处理任何数字和订单的笔划。通过基于它们的位置及其编号,通过动态时间扭曲通过动态时间翘曲以及它们相应存储来分层凝聚。我们通过展示其提高先前已发布的结果的能力来实验通过展示其提高识别性能的能力来验证我们的概念。

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