文档图像二值化过程

IF 0.8 Q4 NEUROSCIENCES
Marcel Prodan, C. Boiangiu
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引用次数: 0

摘要

近年来,科技取得了巨大的进步,这说明了它在我们的日常生活中是多么普遍。为了解决历史文献保存的根本问题,即历史文献的退化,本工作建议使用新技术。该方法建立在人工智能的基础上,人工智能可以读取页面上的文字,识别有用的信息,并将其转换为数字版本。与拍照或扫描相反,对文档进行二值化是一种有效得多的方法,无论是从质量(文字的易读性)还是从数量(保留生成图像所需的内存量)两方面来说都是如此。根据常见的评估措施,建议的全卷积网络设法提供与其他类似性质的解决方案相当的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Document Image Binarization Process
Technology has made significant strides in recent years, which accounts for how pervasive it is in our daily lives. In order to address the fundamental issue with historical document preservation, namely their degeneration, this work suggests using new technology. The method is built on pieces of artificial intelligence that can read the writing from a page and recognize the useful information, converting it into a digital version. Contrary to photographing or scanning, binarizing a document is a considerably more effective method, both in terms of quality—the legibility of the writing—and quantity—the amount of memory needed to retain the resulting image. According to common assessment measures, the suggested fully convolutional network manages to deliver results that are comparable to those of other solutions of a similar nature.
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自引率
47.80%
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2 weeks
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