Pruning large lexicons using generalized word shape descriptors

S. Madhvanath, V. Krpasundar
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引用次数: 20

Abstract

We present a technique for pruning of large lexicons for recognition of cursive script words. The technique involves extraction and representation of downward pen-strokes from the cursive word (off-line or online) to obtain a generalized descriptor which provides a coarse characterization of word shape. The descriptor is matched with ideal descriptors of lexicon entries organized as a trie. When used with a static lexicon of 21,000 words, the accuracy of reduction to 1000 words exceeds 95%.
使用广义词形描述符修剪大型词典
我们提出了一种用于识别草书词的大词典修剪技术。该技术包括从草书单词(离线或在线)中提取和表示向下的笔划,以获得一个提供单词形状粗略表征的广义描述符。描述符与组织为trie的字典条目的理想描述符匹配。当与21000个单词的静态词典一起使用时,减少到1000个单词的准确率超过95%。
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