{"title":"多因素认证系统","authors":"A.Muthu Kumar, D. Jhariya","doi":"10.1109/PCEMS58491.2023.10136041","DOIUrl":null,"url":null,"abstract":"Authentication plays a crucial role in our day-to-day life. Whether it is in your office, college, university, hospitals, banks, social media account, and whatnot. In the present day, most authentication systems are using a single metric to determine authenticity (i.e., password). Although there are some systems that use Multi-Factor Authentication which includes OTPs, unique codes such as Time-based codes, etc., they require an additional device to carry. In our project, we want to develop a Multi-modal Authentication system where we use the unique metrics of a person to identify him such as the face, and fingerprint. In order to develop such a system, we made use of Raspberry Pi, OpenCV, and AWS services.","PeriodicalId":330870,"journal":{"name":"2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multifactor Authentication System\",\"authors\":\"A.Muthu Kumar, D. Jhariya\",\"doi\":\"10.1109/PCEMS58491.2023.10136041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Authentication plays a crucial role in our day-to-day life. Whether it is in your office, college, university, hospitals, banks, social media account, and whatnot. In the present day, most authentication systems are using a single metric to determine authenticity (i.e., password). Although there are some systems that use Multi-Factor Authentication which includes OTPs, unique codes such as Time-based codes, etc., they require an additional device to carry. In our project, we want to develop a Multi-modal Authentication system where we use the unique metrics of a person to identify him such as the face, and fingerprint. In order to develop such a system, we made use of Raspberry Pi, OpenCV, and AWS services.\",\"PeriodicalId\":330870,\"journal\":{\"name\":\"2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)\",\"volume\":\"179 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCEMS58491.2023.10136041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCEMS58491.2023.10136041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Authentication plays a crucial role in our day-to-day life. Whether it is in your office, college, university, hospitals, banks, social media account, and whatnot. In the present day, most authentication systems are using a single metric to determine authenticity (i.e., password). Although there are some systems that use Multi-Factor Authentication which includes OTPs, unique codes such as Time-based codes, etc., they require an additional device to carry. In our project, we want to develop a Multi-modal Authentication system where we use the unique metrics of a person to identify him such as the face, and fingerprint. In order to develop such a system, we made use of Raspberry Pi, OpenCV, and AWS services.