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On the Significance of Stroke Size and Position for Online Handwritten Devanagari Word Recognition: An Empirical Study

机译:笔画大小和位置对在线手写梵文单词识别的意义的实证研究

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Stroke size and position are considered as important information for online recognition of handwritten characters and words in oriental and Indic family of scripts especially because of their multi-stroke and two-dimensional nature. In an Indic script such as Devanagari, the vowel diacritics (matras) can occur at any position around the base consonant and there are even pairs of matras which have similar shapes and differ only in their position with respect to the base consonant. In this paper, we study the relevance of stroke size and position information for the recognition of online handwritten Devanagari words by comparing three different preprocessing schemes. Our experimental results indicate that the word recognition accuracy achieved using a preprocessing scheme that completely disregards the original sizes and positions of the strokes (and symbols) is comparable with the scheme that retains them, when the input is in discrete style, and contextual knowledge in the form of a lexicon is available.
机译:笔划的大小和位置被认为是在线识别东方和印度语手写体中的手写字符和单词的重要信息,尤其是因为它们具有多笔划和二维特性。在诸如梵文这样的印度文字中,元音变音符号可以出现在基本辅音周围的任何位置,甚至还有成对的matras,它们的形状相似,只是相对于基本辅音的位置不同。在本文中,我们通过比较三种不同的预处理方案,研究了笔触大小和位置信息与在线手写梵文单词识别的相关性。我们的实验结果表明,当输入为离散样式时,使用完全忽略笔画(和符号)的原始大小和位置的预处理方案所实现的单词识别精度与保留它们的方案具有可比性,并且在输入时使用上下文知识词典的形式是可用的。

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