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Syntactic methodology of pruning large lexicons in cursive script recognition

机译:在草书识别中删减大词典的句法方法

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摘要

In this paper, we present a holistic technique for pruning of large lexicons for recognition of off-line cursive script words. The technique involves extraction and representation of downward pen-strokes from the off-line cursive word to obtain a descriptor which provides a coarse characterization of word shape. Elastic matching is used to match the image descriptor with "ideal" descriptors corresponding to lexicon entries organized as a trie of stroke classes. On a set of 23,335 real cursive word images the reduction is about 70% with accuracy above 75%. (C) 2000 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 7]
机译:在本文中,我们提出了一种用于修剪大型词典的整体技术,以识别离线草书脚本单词。该技术涉及从离线草书单词中提取和表示向下的笔触,以获得描述符,该描述符提供了单词形状的粗略表征。弹性匹配用于将图像描述符与“理想”描述符进行匹配,该“理想”描述符与组织为笔划类的字典条目相对应。在一组23,335个真实草书单词图像上,该减少量约为70%,而准确率高于75%。 (C)2000模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:7]

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