{"title":"COVID-19期间生物特征识别评估","authors":"Yicheng Zhou","doi":"10.1109/CDS52072.2021.00049","DOIUrl":null,"url":null,"abstract":"The new coronavirus is causing a global health crisis. Many biometric authentication methods have been affected in this epidemic. In this study, we first give a comprehensive evaluation of the COVID-19's impact on various biometric authentication methods and provide an alternative solution based on periocular recognition. The experiments on the Ethnic-ocular dataset show that the Siamese structure could provide a better performance for periocular recognition","PeriodicalId":380426,"journal":{"name":"2021 2nd International Conference on Computing and Data Science (CDS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Evaluation of biometric recognition in the COVID-19 period\",\"authors\":\"Yicheng Zhou\",\"doi\":\"10.1109/CDS52072.2021.00049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The new coronavirus is causing a global health crisis. Many biometric authentication methods have been affected in this epidemic. In this study, we first give a comprehensive evaluation of the COVID-19's impact on various biometric authentication methods and provide an alternative solution based on periocular recognition. The experiments on the Ethnic-ocular dataset show that the Siamese structure could provide a better performance for periocular recognition\",\"PeriodicalId\":380426,\"journal\":{\"name\":\"2021 2nd International Conference on Computing and Data Science (CDS)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 2nd International Conference on Computing and Data Science (CDS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDS52072.2021.00049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Computing and Data Science (CDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDS52072.2021.00049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of biometric recognition in the COVID-19 period
The new coronavirus is causing a global health crisis. Many biometric authentication methods have been affected in this epidemic. In this study, we first give a comprehensive evaluation of the COVID-19's impact on various biometric authentication methods and provide an alternative solution based on periocular recognition. The experiments on the Ethnic-ocular dataset show that the Siamese structure could provide a better performance for periocular recognition