Profile Based Information Retrieval from Printed Document Images

S. Abirami, D. Manjula
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引用次数: 8

Abstract

This paper performs a profile based Information Retrieval from printed document image collections. Keywords are valuable indexing tools and if they can be identified at the image level, extensive computation during recognition will be avoided. Printed documents can be scanned to produce document images. Instead of converting entire document images into text equivalent, word profiles are identified to match the word images in Bilingual document images.(English and Tamil). During retrieval, the same profile could be extracted from the user specified word and can be matched with the word images in the document. This yields a faster result even in a quality-degraded document. This kind of Information Retrieval (Keyword Based Search) can be adapted in Digital Libraries, which employs digitized documents instead of text processing. This promotes efficient search in document images irrespective of the language.
基于配置文件的打印文档图像信息检索
本文实现了一种基于配置文件的打印文档图像信息检索方法。关键词是很有价值的索引工具,如果能在图像层面进行识别,就可以避免在识别过程中大量的计算。可以扫描打印的文件以产生文件图像。不是将整个文档图像转换为等效文本,而是识别单词配置文件以匹配双语文档图像中的单词图像。(英语和泰米尔语)。在检索过程中,可以从用户指定的单词中提取相同的配置文件,并可以与文档中的单词图像进行匹配。即使在质量下降的文档中,这也会产生更快的结果。这种信息检索(基于关键字的检索)适用于数字图书馆,它采用数字化文档代替文本处理。这促进了文档图像的高效搜索,而不考虑语言。
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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