{"title":"基于Radon变换的人脸识别","authors":"Razvan-Daniel Albu","doi":"10.1109/SIITME.2015.7342304","DOIUrl":null,"url":null,"abstract":"In this paper I will present a simple and efficient technique to create a biometric template that can be used to perform face recognition. This research work continues the investigation described in my previous papers, where I have presented a method that can detect spoof attacks, based on Radon transform. Even if Radon based approaches are broadly applicable to tomography, in this research work I will show how it can be successfully utilized to classify images and recognize faces.","PeriodicalId":174623,"journal":{"name":"2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging (SIITME)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Face recognition using Radon transform\",\"authors\":\"Razvan-Daniel Albu\",\"doi\":\"10.1109/SIITME.2015.7342304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper I will present a simple and efficient technique to create a biometric template that can be used to perform face recognition. This research work continues the investigation described in my previous papers, where I have presented a method that can detect spoof attacks, based on Radon transform. Even if Radon based approaches are broadly applicable to tomography, in this research work I will show how it can be successfully utilized to classify images and recognize faces.\",\"PeriodicalId\":174623,\"journal\":{\"name\":\"2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging (SIITME)\",\"volume\":\"166 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging (SIITME)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIITME.2015.7342304\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging (SIITME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIITME.2015.7342304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper I will present a simple and efficient technique to create a biometric template that can be used to perform face recognition. This research work continues the investigation described in my previous papers, where I have presented a method that can detect spoof attacks, based on Radon transform. Even if Radon based approaches are broadly applicable to tomography, in this research work I will show how it can be successfully utilized to classify images and recognize faces.