Cristofher Rojas, R. Hernández-García, R. J. Barrientos
{"title":"Individuals Identification Using Finger Veins under a Multi-core Platform","authors":"Cristofher Rojas, R. Hernández-García, R. J. Barrientos","doi":"10.1109/SCCC.2018.8705155","DOIUrl":null,"url":null,"abstract":"Nowadays, the individuals identification is a problem in many private company, but also in governmental and public order entities. Currently, there are multiple biometric methods, each with different advantages. A modern biometric method, which has several advantages, especially in terms of security against forgery, is finger vein identification. In the present work we have proposed and developed multi-core algorithms for the identification of people using finger veins, based on the SIFT displacement method, which currently has reached the highest efficiency performance in the state-of-the-art in the finger vein identification. The highest performance was reached with the hierarchical multi-core version, which uses two different type of threads, one is in charge of the query management and the second one in charge of the query processing with the database.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCCC.2018.8705155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Nowadays, the individuals identification is a problem in many private company, but also in governmental and public order entities. Currently, there are multiple biometric methods, each with different advantages. A modern biometric method, which has several advantages, especially in terms of security against forgery, is finger vein identification. In the present work we have proposed and developed multi-core algorithms for the identification of people using finger veins, based on the SIFT displacement method, which currently has reached the highest efficiency performance in the state-of-the-art in the finger vein identification. The highest performance was reached with the hierarchical multi-core version, which uses two different type of threads, one is in charge of the query management and the second one in charge of the query processing with the database.