{"title":"处理数字复制文档中的工件","authors":"L. Cinque, S. Levialdi, L. Lombardi, S. Tanimoto","doi":"10.1109/CAMP.2000.875993","DOIUrl":null,"url":null,"abstract":"The analysis of scanned documents is important in the construction of digital libraries and paperless offices. One significant challenge is coping with artifacts of photocopying and scanning. We present a series of simple techniques for handling these difficulties. Using 125 images of the University of Washington scanned documents database, we demonstrate the effectiveness of these methods in preparing the images for segmentation by a multiresolution algorithm.","PeriodicalId":282003,"journal":{"name":"Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Handling artifacts in digitally reproduced documents\",\"authors\":\"L. Cinque, S. Levialdi, L. Lombardi, S. Tanimoto\",\"doi\":\"10.1109/CAMP.2000.875993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The analysis of scanned documents is important in the construction of digital libraries and paperless offices. One significant challenge is coping with artifacts of photocopying and scanning. We present a series of simple techniques for handling these difficulties. Using 125 images of the University of Washington scanned documents database, we demonstrate the effectiveness of these methods in preparing the images for segmentation by a multiresolution algorithm.\",\"PeriodicalId\":282003,\"journal\":{\"name\":\"Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAMP.2000.875993\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMP.2000.875993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Handling artifacts in digitally reproduced documents
The analysis of scanned documents is important in the construction of digital libraries and paperless offices. One significant challenge is coping with artifacts of photocopying and scanning. We present a series of simple techniques for handling these difficulties. Using 125 images of the University of Washington scanned documents database, we demonstrate the effectiveness of these methods in preparing the images for segmentation by a multiresolution algorithm.
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