{"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":"38 1","pages":""},"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}
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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.
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