{"title":"识别压缩图像中条形码的存在性","authors":"Maa C.Y.","doi":"10.1006/cgip.1994.1032","DOIUrl":null,"url":null,"abstract":"<div><p>This paper proposes a method for identifying the existence of bar codes in compressed images without any decompression. The compressed images considered here are produced by the CCITT Group 4 (or 2-D coding in Group 3) facsimile compression standard. The proposed method is tested against forms, with Code 39 bar codes, and the results of our experiments show the method is very effective and robust against different form types and for scanning imperfection.</p></div>","PeriodicalId":100349,"journal":{"name":"CVGIP: Graphical Models and Image Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1994-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/cgip.1994.1032","citationCount":"18","resultStr":"{\"title\":\"Identifying the Existence of Bar Codes in Compressed Images\",\"authors\":\"Maa C.Y.\",\"doi\":\"10.1006/cgip.1994.1032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper proposes a method for identifying the existence of bar codes in compressed images without any decompression. The compressed images considered here are produced by the CCITT Group 4 (or 2-D coding in Group 3) facsimile compression standard. The proposed method is tested against forms, with Code 39 bar codes, and the results of our experiments show the method is very effective and robust against different form types and for scanning imperfection.</p></div>\",\"PeriodicalId\":100349,\"journal\":{\"name\":\"CVGIP: Graphical Models and Image Processing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1006/cgip.1994.1032\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CVGIP: Graphical Models and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1049965284710327\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CVGIP: Graphical Models and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1049965284710327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identifying the Existence of Bar Codes in Compressed Images
This paper proposes a method for identifying the existence of bar codes in compressed images without any decompression. The compressed images considered here are produced by the CCITT Group 4 (or 2-D coding in Group 3) facsimile compression standard. The proposed method is tested against forms, with Code 39 bar codes, and the results of our experiments show the method is very effective and robust against different form types and for scanning imperfection.
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