{"title":"A system for document binarization","authors":"E. Badekas, N. Papamarkos","doi":"10.1109/ISPA.2003.1296408","DOIUrl":null,"url":null,"abstract":"This paper presents a system for binarization of digital documents. The system comprises the benefits of a set of other binarization techniques by combining their results. This is necessary for bad illuminated and degraded document where there are many pixels that cannot be easily classified as foreground or background. For this reason, it is necessary to perform the final binarization by exploiting the results of a set of binarization algorithms, especially for the document pixels that have high vagueness. Also, in this paper significant improvements are proposed for two of the methods used, i.e. for the Adaptive Logical Level Technique (ALLT) and the Improvement of Integrated Function Algorithm (IIFA). The entire system is extensively tested with a variety of degraded and bad-illuminated documents.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"338 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPA.2003.1296408","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

This paper presents a system for binarization of digital documents. The system comprises the benefits of a set of other binarization techniques by combining their results. This is necessary for bad illuminated and degraded document where there are many pixels that cannot be easily classified as foreground or background. For this reason, it is necessary to perform the final binarization by exploiting the results of a set of binarization algorithms, especially for the document pixels that have high vagueness. Also, in this paper significant improvements are proposed for two of the methods used, i.e. for the Adaptive Logical Level Technique (ALLT) and the Improvement of Integrated Function Algorithm (IIFA). The entire system is extensively tested with a variety of degraded and bad-illuminated documents.
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一种文件二值化系统
本文提出了一种数字文档二值化系统。该系统通过组合其他二值化技术的结果,包含了一组其他二值化技术的优点。这是必要的照明和退化的文件,其中有许多像素,不能很容易地分类为前景或背景。因此,有必要利用一组二值化算法的结果来执行最终的二值化,特别是对于具有高模糊性的文档像素。此外,本文还对所使用的两种方法,即自适应逻辑电平技术(ALLT)和集成函数算法(IIFA)的改进提出了重大改进。整个系统在各种退化和照明不良的文件中进行了广泛的测试。
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