{"title":"Face anti-spoofing by using Feature Fusion","authors":"Qiong Liu, Lan Zhang","doi":"10.1145/3480651.3480658","DOIUrl":null,"url":null,"abstract":"Security issues have attracted more and more attention with the application of face recognition technology. Face anti-spoofing has become an important derivative subject in the current research of face recognition, More and more researchers are devoted to the research of face anti-spoofing by the increase of fake face types. Even face anti-spoofing has been studied from different angles, some of the methods have significant effects, while there are still some deficiencies and can not get satisfactory results, How to effectively distinguish between real faces and fake faces and improve the accuracy of classification is the focus of current research.","PeriodicalId":305943,"journal":{"name":"Proceedings of the 2021 International Conference on Pattern Recognition and Intelligent Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 International Conference on Pattern Recognition and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3480651.3480658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Security issues have attracted more and more attention with the application of face recognition technology. Face anti-spoofing has become an important derivative subject in the current research of face recognition, More and more researchers are devoted to the research of face anti-spoofing by the increase of fake face types. Even face anti-spoofing has been studied from different angles, some of the methods have significant effects, while there are still some deficiencies and can not get satisfactory results, How to effectively distinguish between real faces and fake faces and improve the accuracy of classification is the focus of current research.