{"title":"基于云的移动系统,用于生物识别认证","authors":"F. Omri, S. Foufou, R. Hamila, M. Jarraya","doi":"10.1109/ITST.2013.6685567","DOIUrl":null,"url":null,"abstract":"This paper introduces a new framework to perform handwritten password authentication as an Internet service based on the cloud computing technology. Using the proposed cloud-based authentication platform, we would be able to apply several advanced practical algorithms, such as k-nearest neighbor, and artificial neural network classifier used for large-scale character recognition. The classifier algorithm uses parallel classifier combination method in order to achieve satisfying accuracy for both recognition and error rate.","PeriodicalId":117087,"journal":{"name":"2013 13th International Conference on ITS Telecommunications (ITST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Cloud-based mobile system for biometrics authentication\",\"authors\":\"F. Omri, S. Foufou, R. Hamila, M. Jarraya\",\"doi\":\"10.1109/ITST.2013.6685567\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a new framework to perform handwritten password authentication as an Internet service based on the cloud computing technology. Using the proposed cloud-based authentication platform, we would be able to apply several advanced practical algorithms, such as k-nearest neighbor, and artificial neural network classifier used for large-scale character recognition. The classifier algorithm uses parallel classifier combination method in order to achieve satisfying accuracy for both recognition and error rate.\",\"PeriodicalId\":117087,\"journal\":{\"name\":\"2013 13th International Conference on ITS Telecommunications (ITST)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 13th International Conference on ITS Telecommunications (ITST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITST.2013.6685567\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 13th International Conference on ITS Telecommunications (ITST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITST.2013.6685567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cloud-based mobile system for biometrics authentication
This paper introduces a new framework to perform handwritten password authentication as an Internet service based on the cloud computing technology. Using the proposed cloud-based authentication platform, we would be able to apply several advanced practical algorithms, such as k-nearest neighbor, and artificial neural network classifier used for large-scale character recognition. The classifier algorithm uses parallel classifier combination method in order to achieve satisfying accuracy for both recognition and error rate.