{"title":"分割巴西银行支票标志没有先验知识","authors":"Andreia de Jesus, J. Facon","doi":"10.1109/ITCC.2000.844231","DOIUrl":null,"url":null,"abstract":"The paper presents a method to locate and extract Brazilian bank check logos automatically by employing mathematical morphology. The objective is to minimize the number of heuristic parameters to obtain the most precise possible segmentation in every situation, thereby allowing this approach to be reused in other applications. Trials and results are presented.","PeriodicalId":146581,"journal":{"name":"Proceedings International Conference on Information Technology: Coding and Computing (Cat. No.PR00540)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Segmentation of Brazilian bank check logos without a priori knowledge\",\"authors\":\"Andreia de Jesus, J. Facon\",\"doi\":\"10.1109/ITCC.2000.844231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a method to locate and extract Brazilian bank check logos automatically by employing mathematical morphology. The objective is to minimize the number of heuristic parameters to obtain the most precise possible segmentation in every situation, thereby allowing this approach to be reused in other applications. Trials and results are presented.\",\"PeriodicalId\":146581,\"journal\":{\"name\":\"Proceedings International Conference on Information Technology: Coding and Computing (Cat. No.PR00540)\",\"volume\":\"157 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Conference on Information Technology: Coding and Computing (Cat. No.PR00540)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITCC.2000.844231\",\"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 International Conference on Information Technology: Coding and Computing (Cat. No.PR00540)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCC.2000.844231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Segmentation of Brazilian bank check logos without a priori knowledge
The paper presents a method to locate and extract Brazilian bank check logos automatically by employing mathematical morphology. The objective is to minimize the number of heuristic parameters to obtain the most precise possible segmentation in every situation, thereby allowing this approach to be reused in other applications. Trials and results are presented.