{"title":"基于大数据分析的分布式生物特征识别系统","authors":"George Popov, O. Nakov, Elizabet Mihaylova","doi":"10.1109/CREBUS.2019.8840079","DOIUrl":null,"url":null,"abstract":"This article explores the design and construction of national and larger international biometric identification databases. An analytical study of the resource efficiency problem of a system comprising multiple mobile local biometric readers connected through a limited communication channel with a central database is done. A suggested approach is to accelerate the computation process based on the partial storing of signs information for templates. The presented analytical models can be used for subsequent optimization.","PeriodicalId":337771,"journal":{"name":"2019 International Conference on Creative Business for Smart and Sustainable Growth (CREBUS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Distributed System for Biometrical Identification Based on Big Data Analysis\",\"authors\":\"George Popov, O. Nakov, Elizabet Mihaylova\",\"doi\":\"10.1109/CREBUS.2019.8840079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article explores the design and construction of national and larger international biometric identification databases. An analytical study of the resource efficiency problem of a system comprising multiple mobile local biometric readers connected through a limited communication channel with a central database is done. A suggested approach is to accelerate the computation process based on the partial storing of signs information for templates. The presented analytical models can be used for subsequent optimization.\",\"PeriodicalId\":337771,\"journal\":{\"name\":\"2019 International Conference on Creative Business for Smart and Sustainable Growth (CREBUS)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Creative Business for Smart and Sustainable Growth (CREBUS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CREBUS.2019.8840079\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Creative Business for Smart and Sustainable Growth (CREBUS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CREBUS.2019.8840079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Distributed System for Biometrical Identification Based on Big Data Analysis
This article explores the design and construction of national and larger international biometric identification databases. An analytical study of the resource efficiency problem of a system comprising multiple mobile local biometric readers connected through a limited communication channel with a central database is done. A suggested approach is to accelerate the computation process based on the partial storing of signs information for templates. The presented analytical models can be used for subsequent optimization.
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