{"title":"使用生物身份的基于网络的生物识别验证:一个详细的调查","authors":"J. P. P. Jemimah, K. Muthumeenakshi, S. Radha","doi":"10.1109/AEEICB.2018.8480939","DOIUrl":null,"url":null,"abstract":"This paper details the acquisition techniques of various physiological traits of hand. It also discusses on the preprocessing and feature extraction techniques involved in matching the acquired images of traits with the existing databases shared on cloud which favors the identification of individuals. Thus the aim of the authors is to present an extensive survey of different approaches involved in recognizing individuals with the help of an infrastructure that uses their physiological traits of hand. This in turn overcomes the disadvantage of re-registering the physiological traits of the individuals. The different approaches are compared based on the percentage of False Acceptance Rate (FAR) and False Rejection Rate (FRR). This paper also proposes a framework for registering the traits for a single time over the internet.","PeriodicalId":423671,"journal":{"name":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","volume":"38 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Web based Biometric Validation Using Biological Identities: An Elaborate Survey\",\"authors\":\"J. P. P. Jemimah, K. Muthumeenakshi, S. Radha\",\"doi\":\"10.1109/AEEICB.2018.8480939\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper details the acquisition techniques of various physiological traits of hand. It also discusses on the preprocessing and feature extraction techniques involved in matching the acquired images of traits with the existing databases shared on cloud which favors the identification of individuals. Thus the aim of the authors is to present an extensive survey of different approaches involved in recognizing individuals with the help of an infrastructure that uses their physiological traits of hand. This in turn overcomes the disadvantage of re-registering the physiological traits of the individuals. The different approaches are compared based on the percentage of False Acceptance Rate (FAR) and False Rejection Rate (FRR). This paper also proposes a framework for registering the traits for a single time over the internet.\",\"PeriodicalId\":423671,\"journal\":{\"name\":\"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)\",\"volume\":\"38 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEEICB.2018.8480939\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEEICB.2018.8480939","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Web based Biometric Validation Using Biological Identities: An Elaborate Survey
This paper details the acquisition techniques of various physiological traits of hand. It also discusses on the preprocessing and feature extraction techniques involved in matching the acquired images of traits with the existing databases shared on cloud which favors the identification of individuals. Thus the aim of the authors is to present an extensive survey of different approaches involved in recognizing individuals with the help of an infrastructure that uses their physiological traits of hand. This in turn overcomes the disadvantage of re-registering the physiological traits of the individuals. The different approaches are compared based on the percentage of False Acceptance Rate (FAR) and False Rejection Rate (FRR). This paper also proposes a framework for registering the traits for a single time over the internet.