Spatial Similarity Based Stroke Number and Order Free Clustering

K. Santosh, C. Nattee, B. Lamiroy
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引用次数: 17

Abstract

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.
基于空间相似性的笔划数和无序聚类
在本文中,我们提出了一种将空间关系整合到手写体Devanagari字符识别中的创新方法。它可以独立处理任意数量和顺序的笔画。学习到的笔画根据它们的位置和数量通过动态时间扭曲分层聚集并相应地存储。我们通过实验验证了我们的概念,展示了它在先前发表的结果上提高识别性能的能力。
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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