{"title":"基于贝叶斯规则的地址块提取","authors":"T. Kagehiro, Masashi Koga, H. Sako, H. Fujisawa","doi":"10.1109/ICPR.2004.1334315","DOIUrl":null,"url":null,"abstract":"A method for extracting a recipient address-block from a mail image has been developed. The method is composed of two steps: nomination of address-block candidates and evaluation of these candidates by using the Bayesian rule according to each of address-block type. Accordingly, the proposed method can cope with various types of address-blocks. The effectiveness of the method was confirmed in several address extraction experiments. These experiments show that the top-five extraction results include one correct address-block in 94% of total number of printed-mail cases and 89% in of handwritten-mail cases.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Address-block extraction by Bayesian rule\",\"authors\":\"T. Kagehiro, Masashi Koga, H. Sako, H. Fujisawa\",\"doi\":\"10.1109/ICPR.2004.1334315\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for extracting a recipient address-block from a mail image has been developed. The method is composed of two steps: nomination of address-block candidates and evaluation of these candidates by using the Bayesian rule according to each of address-block type. Accordingly, the proposed method can cope with various types of address-blocks. The effectiveness of the method was confirmed in several address extraction experiments. These experiments show that the top-five extraction results include one correct address-block in 94% of total number of printed-mail cases and 89% in of handwritten-mail cases.\",\"PeriodicalId\":335842,\"journal\":{\"name\":\"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.2004.1334315\",\"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 of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.2004.1334315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method for extracting a recipient address-block from a mail image has been developed. The method is composed of two steps: nomination of address-block candidates and evaluation of these candidates by using the Bayesian rule according to each of address-block type. Accordingly, the proposed method can cope with various types of address-blocks. The effectiveness of the method was confirmed in several address extraction experiments. These experiments show that the top-five extraction results include one correct address-block in 94% of total number of printed-mail cases and 89% in of handwritten-mail cases.