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A system for the automatic layout segmentation and classification of digital documents

机译:一种数字文档的自动版面分割和分类系统

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摘要

The paper documents recognition is fundamental for office automation becoming every day a more powerful tool in those fields where information is still on paper. Document recognition follows from data acquisition, from both journals, and entire books in order to transform them in digital objects. We present a new system for Document recognition that follows the Open Source methodologies, XML description for documents segmentation and classification, which turns to be beneficial in terms of classification precision, and general-purpose availability.
机译:纸质文档的识别对于办公室自动化来说是至关重要的,而在那些仍然需要纸质信息的领域中,纸质文档的识别每天都变得越来越强大。文档识别来自于从期刊和整本书中获取数据,以便将它们转换为数字对象。我们提供了一种新的文档识别系统,该系统遵循开源方法,用于文档分段和分类的XML描述,这在分类精度和通用可用性方面将是有益的。

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