{"title":"基于局部全局图的指纹生物识别认证","authors":"R. Kannavara, N. Bourbakis","doi":"10.1109/NAECON.2009.5426628","DOIUrl":null,"url":null,"abstract":"In this work, we present a method for fingerprint based biometric authentication using the Local Global (LG) Graph methodology. Local graphs of the pre-processed fingerprint image are first calculated and combined to form a Global graph that is stored in a database for the purpose of authentication. The distance between the Global graphs of the presented and the stored fingerprint images is calculated and based on a threshold, subject authenticity is established.","PeriodicalId":305765,"journal":{"name":"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Fingerprint biometric authentication based on local global graphs\",\"authors\":\"R. Kannavara, N. Bourbakis\",\"doi\":\"10.1109/NAECON.2009.5426628\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we present a method for fingerprint based biometric authentication using the Local Global (LG) Graph methodology. Local graphs of the pre-processed fingerprint image are first calculated and combined to form a Global graph that is stored in a database for the purpose of authentication. The distance between the Global graphs of the presented and the stored fingerprint images is calculated and based on a threshold, subject authenticity is established.\",\"PeriodicalId\":305765,\"journal\":{\"name\":\"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE 2009 National Aerospace & Electronics Conference (NAECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON.2009.5426628\",\"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 IEEE 2009 National Aerospace & Electronics Conference (NAECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.2009.5426628","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fingerprint biometric authentication based on local global graphs
In this work, we present a method for fingerprint based biometric authentication using the Local Global (LG) Graph methodology. Local graphs of the pre-processed fingerprint image are first calculated and combined to form a Global graph that is stored in a database for the purpose of authentication. The distance between the Global graphs of the presented and the stored fingerprint images is calculated and based on a threshold, subject authenticity is established.