Stroke feature extraction for lettrine indexing

Giap Nguyen, Mickaël Coustaty, J. Ogier
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引用次数: 9

Abstract

We commonly need to extract the image feature to understand and to realize the processes on it, and for each process we need a suitable feature extraction method. In this paper, we describe a stroke feature extraction method which will used in the lettrine indexing. A lettrine is a letter decorated who appear at the beginning of a chapter or a paragraph in ancient books. It's principally composed of strokes. This method is developed with the goal to characterize for indexing them by content using these particular components. We thus use strokes instead of pixels as elementary component. This study is innovative and first results are interesting. Indexing tests using this method will be made in the NaviDoMass project1.
用于字母索引的笔画特征提取
我们通常需要提取图像特征来理解和实现图像上的过程,对于每个过程我们都需要一种合适的特征提取方法。本文描述了一种用于字母标引的笔画特征提取方法。字母是古书中出现在一章或一段开头的有装饰的字母。它主要由笔画组成。开发此方法的目的是通过使用这些特定组件的内容来描述它们的索引。因此,我们使用笔画代替像素作为基本成分。这项研究具有创新性,初步结果也很有趣。将在NaviDoMass项目中使用此方法进行索引测试1。
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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