Sangeet Aggarwal, Sanjeev Kumar, Ritu Garg, S. Chaudhury
{"title":"Content directed enhancement of degraded document images","authors":"Sangeet Aggarwal, Sanjeev Kumar, Ritu Garg, S. Chaudhury","doi":"10.1145/2432553.2432564","DOIUrl":null,"url":null,"abstract":"Most of the document pre-processing techniques are parameter dependent. In this paper, we present a novel framework that learns optimal parameters, depending on the nature of the document image content for binarization and text/graphics segmentation. The learning problem has been formulated as an optimization problem using EM algorithm to adaptively learn optimal parameters. Experimental results have established the effectiveness of our approach.","PeriodicalId":410986,"journal":{"name":"DAR '12","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DAR '12","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2432553.2432564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Most of the document pre-processing techniques are parameter dependent. In this paper, we present a novel framework that learns optimal parameters, depending on the nature of the document image content for binarization and text/graphics segmentation. The learning problem has been formulated as an optimization problem using EM algorithm to adaptively learn optimal parameters. Experimental results have established the effectiveness of our approach.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
