{"title":"合成数据:消除生物识别偏差的真正途径","authors":"","doi":"10.12968/s0969-4765(23)70001-5","DOIUrl":null,"url":null,"abstract":"Synthetically produced data could be the ‘next big thing’ in biometrics, helping to cut discrimination in facial recognition and other apps. But, says Jan Lunter of Innovatrics, there are pitfalls users must avoid to get the best out of this innovation.","PeriodicalId":100183,"journal":{"name":"Biometric Technology Today","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synthetic data: a real route to eliminating bias in biometrics\",\"authors\":\"\",\"doi\":\"10.12968/s0969-4765(23)70001-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Synthetically produced data could be the ‘next big thing’ in biometrics, helping to cut discrimination in facial recognition and other apps. But, says Jan Lunter of Innovatrics, there are pitfalls users must avoid to get the best out of this innovation.\",\"PeriodicalId\":100183,\"journal\":{\"name\":\"Biometric Technology Today\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biometric Technology Today\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12968/s0969-4765(23)70001-5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biometric Technology Today","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12968/s0969-4765(23)70001-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synthetic data: a real route to eliminating bias in biometrics
Synthetically produced data could be the ‘next big thing’ in biometrics, helping to cut discrimination in facial recognition and other apps. But, says Jan Lunter of Innovatrics, there are pitfalls users must avoid to get the best out of this innovation.
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