从文本图像中检索基于人的字符串图像

K. Yokosawa
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引用次数: 2

摘要

提出了一种基于人查特征的日语文本图像直接字符串检索方法。在一项让人类受试者识别CRT屏幕上显示的字符的实验中,在日语句子语境中,字符串搜索性能优于单字符搜索性能。这个结果表明字符串比单独的字符包含更多的信息。对反应时间的分析表明,视觉搜索分为两个阶段。一种仿人两阶段的字符串图像检索系统对90幅日语文本图像进行了目标图像的有效检索。此外,从系统中获得了类似人类的性能:例如,它比单字符图像更容易识别字符串图像。
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Human-based character string image retrieval from textual images
A direct character-string retrieval method based on human search characteristics is proposed for Japanese textual image processing. In an experiment in which human subjects were to identify characters shown on a CRT screen, character-string search performance was better than single-character search performance in Japanese sentence contexts. This result suggests that character strings contain more information than characters alone. The analysis of reaction times shows that there are two stages in visual search. A character-string image retrieval system which, human-like, has two stages is effective in searching target images in ninety Japanese textual images. Moreover, human-like performance is obtained from the system: for example, it more easily identifies character-string images than single-character images.<>
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