{"title":"An Enhanced Integration of Voice-, Face-, and Signature-Based Authentication System for Learning Content Management System","authors":"M. Goyal, R. Krishnamurthi","doi":"10.4018/978-1-5225-7724-9.CH004","DOIUrl":null,"url":null,"abstract":"This chapter explores a novel learning content management system. This chapter presents a novel system based on integration of voice authentication, face recognition technique, and signature of a person to recognize in e-learning system. Voice-based authentication, face recognition, and signature of a person is most widely used to authenticate human identity. The main concern in an e-learning system is to demotivate unknown users from taking the examination in place of the learner. Different techniques have been introduced to stop this fraud if any unknown person wants to imitate person's identity. In order to avoid the fraudulent handling of e-learning systems, the authentication based on voice recognition is discussed as one of the efficient techniques in literature.","PeriodicalId":369109,"journal":{"name":"Biometric Authentication in Online Learning Environments","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biometric Authentication in Online Learning Environments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-5225-7724-9.CH004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This chapter explores a novel learning content management system. This chapter presents a novel system based on integration of voice authentication, face recognition technique, and signature of a person to recognize in e-learning system. Voice-based authentication, face recognition, and signature of a person is most widely used to authenticate human identity. The main concern in an e-learning system is to demotivate unknown users from taking the examination in place of the learner. Different techniques have been introduced to stop this fraud if any unknown person wants to imitate person's identity. In order to avoid the fraudulent handling of e-learning systems, the authentication based on voice recognition is discussed as one of the efficient techniques in literature.