Aman Kathed, S. Azam, Bharanidharan Shanmugam, Asif Karim, Kheng Cher Yeo, Friso De Boer, M. Jonkman
{"title":"An Enhanced 3-Tier Multimodal Biometric Authentication","authors":"Aman Kathed, S. Azam, Bharanidharan Shanmugam, Asif Karim, Kheng Cher Yeo, Friso De Boer, M. Jonkman","doi":"10.1109/ICCCI.2019.8822117","DOIUrl":null,"url":null,"abstract":"In today’s networked world the requirement for security frameworks are becoming tighter because of an increase in violations like PC hacking, unlawful access of ATM, cellphone and security ruptures in government agencies, and what’s more, private structures. Lawbreakers exploit basic imperfections in the traditional security frameworks. For these security issues, biometric acknowledgment framework is utilized for identifying individuals using distinguishable and exclusive proof. Biometrics of an individual can’ be hacked effortlessly as opposed to a password. A multimodal framework can consolidate any number of free biometrics and make any biometric system a lot stronger than using only one biometric as user’s confirmation device. The combination of numerous biometrics reduces the framework mistake rate as well. Combination strategies incorporate a strategy of converging biometric modalities consecutively until the point that an adequate match is reached. This paper proposes a block diagram of multimodal biometrics; likewise, discusses the utilization of biometric frameworks and their leeway over the unimodal biometric framework and how a combination of different biometrics can substantially decrease the framework’s error rate","PeriodicalId":302941,"journal":{"name":"2019 International Conference on Computer Communication and Informatics (ICCCI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computer Communication and Informatics (ICCCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCI.2019.8822117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
In today’s networked world the requirement for security frameworks are becoming tighter because of an increase in violations like PC hacking, unlawful access of ATM, cellphone and security ruptures in government agencies, and what’s more, private structures. Lawbreakers exploit basic imperfections in the traditional security frameworks. For these security issues, biometric acknowledgment framework is utilized for identifying individuals using distinguishable and exclusive proof. Biometrics of an individual can’ be hacked effortlessly as opposed to a password. A multimodal framework can consolidate any number of free biometrics and make any biometric system a lot stronger than using only one biometric as user’s confirmation device. The combination of numerous biometrics reduces the framework mistake rate as well. Combination strategies incorporate a strategy of converging biometric modalities consecutively until the point that an adequate match is reached. This paper proposes a block diagram of multimodal biometrics; likewise, discusses the utilization of biometric frameworks and their leeway over the unimodal biometric framework and how a combination of different biometrics can substantially decrease the framework’s error rate