Silvia M. Farani Costa, João Marcelo V. de Oliveira, Francisco Javier Ramirez Fernandez
{"title":"一种基于方向图像的指纹分类新范式","authors":"Silvia M. Farani Costa, João Marcelo V. de Oliveira, Francisco Javier Ramirez Fernandez","doi":"10.1109/SIBGRA.2002.1167177","DOIUrl":null,"url":null,"abstract":"This work presents a simple method to obtain fingerprint classification via directional map smoothing. The program was developed in C++ language, using statistical techniques. The strategy allows to extract attributes of an image and to increase the quality of the process due to the reduction of noise, compared with results obtained by other methods. The experimental results obtained by this technique demonstrate that a better directional map is arranged.","PeriodicalId":286814,"journal":{"name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A new paradigm on fingerprint classification using directional image\",\"authors\":\"Silvia M. Farani Costa, João Marcelo V. de Oliveira, Francisco Javier Ramirez Fernandez\",\"doi\":\"10.1109/SIBGRA.2002.1167177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents a simple method to obtain fingerprint classification via directional map smoothing. The program was developed in C++ language, using statistical techniques. The strategy allows to extract attributes of an image and to increase the quality of the process due to the reduction of noise, compared with results obtained by other methods. The experimental results obtained by this technique demonstrate that a better directional map is arranged.\",\"PeriodicalId\":286814,\"journal\":{\"name\":\"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBGRA.2002.1167177\",\"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. XV Brazilian Symposium on Computer Graphics and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBGRA.2002.1167177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new paradigm on fingerprint classification using directional image
This work presents a simple method to obtain fingerprint classification via directional map smoothing. The program was developed in C++ language, using statistical techniques. The strategy allows to extract attributes of an image and to increase the quality of the process due to the reduction of noise, compared with results obtained by other methods. The experimental results obtained by this technique demonstrate that a better directional map is arranged.
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