2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications最新文献_第2页

Secure and simplified access to home appliances using Iris recognition 使用虹膜识别安全、简便地访问家用电器

2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications Pub Date : 2009-05-15 DOI: 10.1109/CIB.2009.4925682

A. Mondal, K. Roy, P. Bhattacharya

{"title":"Secure and simplified access to home appliances using Iris recognition","authors":"A. Mondal, K. Roy, P. Bhattacharya","doi":"10.1109/CIB.2009.4925682","DOIUrl":"https://doi.org/10.1109/CIB.2009.4925682","url":null,"abstract":"Moving towards an ‘always-on’, ‘mobile’ and technology driven lifestyle, people are demanding greater technical triumph to make life more exciting, convenient and trouble-free. Automation at home has already started catering to this growing need. Another major motivating factor for this is the prospect of higher energy efficiency, greater control on home from remote locations and the decreasing cost of network-controlled home appliances. In this paper, we propose a novel scheme for accessing home appliances over the Internet using secure communication channel offered by Secure Socket Layer (SSL) with mandatory certificate verification, perform user authentication using Iris image, and then hash the biometric data to provide an impregnable three-factor security to the biometric data as well as user instructions while in transit between the user terminal and the home appliance. Additionally, we propose the use of a single Authentication Server for multiple residences, that would store users' sensitive biometric data, perform authentication, access control and quality of service, thereby reducing cost, effort, user dependability and improve security, acceptability and user-friendliness of home automation universally, together with SIP and UPnP protocols. The proposed approach proves to be more effective because of its well integrated three levels of security, less equal error, very small hash code used for authentication, lower computational complexity while matching, and thus, very fast response.","PeriodicalId":395538,"journal":{"name":"2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128890379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Person authentication with RDTW based on handwritten PIN and signature with a novel biometric smart pen device 基于手写PIN码和新型生物识别智能笔设备签名的RDTW身份验证

2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications Pub Date : 2009-05-15 DOI: 10.1109/CIB.2009.4925688

M. Bashir, J. Kempf

引用次数: 26

Enhancing security through a hybrid multibiometric system 通过混合多生物识别系统加强安全

2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications Pub Date : 2009-05-15 DOI: 10.1109/CIB.2009.4925691

M. Monwar, M. Gavrilova

{"title":"Enhancing security through a hybrid multibiometric system","authors":"M. Monwar, M. Gavrilova","doi":"10.1109/CIB.2009.4925691","DOIUrl":"https://doi.org/10.1109/CIB.2009.4925691","url":null,"abstract":"Biometric user authentication techniques for security and access control have evoked an enormous interest by science, industry and society in the last two decades. Scientist and researchers have constantly pursued the technology for automated confirmation of the identity of subjects based on measurements of physiological or behavioral traits of humans. But even the best single biometric system suffers from spoof attacks, intra-class variability, noise, susceptibility etc. To address this issue, we develop a hybrid multibiometric system which integrates multi-algorithm and multi-modal approaches of multibiometric system and use bilevel fusion to combine biometric information. We use face, ear and signature biometric traits which are first classified by three classification techniques- multilayer perceptron, Fisher-image and Bayesian network. The outcomes of these classifiers for face are fused by rank fusion method. Outcomes for ear and signature are also fused similarly. The second level fusion occurs when we combine the results of these three rank fusion methods' outcomes for face, ear and signature with decision fusion method. We use Borda count and Borda fuse approaches for rank fusion and majority voting, weighted majority voting and behavioral knowledge space approaches for decision fusion. The final results indicate that this hybrid multi biometric system outperforms the single biometric systems build on the same data using the same classification algorithms. This system can be effectively used in law enforcement or homeland security department or for commercial purposes.","PeriodicalId":395538,"journal":{"name":"2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134490614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

On the feasibility of the visible wavelength, at-a-distance and on-the-move iris recognition 研究了可见光波段、远距离和动态虹膜识别的可行性

2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications Pub Date : 2009-03-01 DOI: 10.1109/CIB.2009.4925680

Hugo Proença

引用次数: 38