{"title":"Separation of recto-verso documents using copula based dependent source separation","authors":"A. Keziou, N. Mamouni, H. Fenniri","doi":"10.1109/SAM48682.2020.9104250","DOIUrl":null,"url":null,"abstract":"For separating linear instantaneous mixtures of independent/dependent source components, we extend the independent/dependent blind source separation method, proposed by [1], to cover the more general case, where the dependency structure of the source components and the related parameter are both unknown. An application is given for separating scanned recto-verso documents.","PeriodicalId":6753,"journal":{"name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAM48682.2020.9104250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
For separating linear instantaneous mixtures of independent/dependent source components, we extend the independent/dependent blind source separation method, proposed by [1], to cover the more general case, where the dependency structure of the source components and the related parameter are both unknown. An application is given for separating scanned recto-verso documents.
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