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Four Machine Learning Algorithms for Biometrics Fusion: A Comparative Study
Applied Computational Intelligence and Soft Computing, 2012 We examine the efficiency of four machine learning algorithms for the fusion of several biometrics modalities to create a multimodal biometrics security system. The algorithms examined are Gaussian Mixture Models (GMMs), Artificial Neural Networks (ANNs),
I. G. Damousis, S. Argyropoulos
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Analysing soft clothing biometrics for retrieval [PDF]
, 2014 Soft biometrics continues to attract research interest. Traditional body and face soft biometrics have been the main research focus and have been proven, by many researchers, to be usable for identification and retrieval.
Jaha, Emad Sami +3 more
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ENHANCED BORDER AUTHENTICATION USING MULTIMODAL BIOMETRICS [PDF]
International Journal of Intelligent Computing and Information SciencesThe growing popularity of travel in the modern world coupled with inadequate authentication methods at border locations, has contributed to the rise of border security incidents.
Salma Abdelmonem +7 more
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Multimodal Biometrics: An Overview
, 2004 Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Arun Ross, Anil K. Jain 0001
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Support Platform for Learning about Multimodal Biometrics
, 2013 Lately, there is an increasing interest in multimodal biometric systems. Faculty of organizational sciences and Ministry of Education and Science of Serbia have recognized importance of biometrics, and started an international project named "Multimodal ...
Milovanović, Miloš +3 more
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Probabilistic Methods for Object Description and Classification [PDF]
, 2006 This thesis extends the utility of probabilistic methods in two diverse domains: multimodal biometrics and machine inspection. The attraction for this approach is that it is easily understood by those using such a system; however the advantages extend ...
Bazin, A. I., Bazin, Alexander Ian
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Biometrics Institute 20th Anniversary Report [PDF]
, 2021 The purpose of this report is to mark the 20-year anniversary of the Biometrics Institute on the 11 October 2021. More importantly, however, this report celebrates the work of the Biometrics Institute over the past twenty years, which together with the ...
Leaton Gray, S
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Multimodality for Reliable Single Image Based Face Morphing Attack Detection
IEEE Access, 2022 Face morphing attacks have demonstrated a high vulnerability on human observers and commercial off-the-shelf Face Recognition Systems (FRS), especially in the border control scenario. Therefore, detecting face morphing attacks is paramount to achieving a
Ramachandra Raghavendra, Guoqiang Li
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Continuous Verification Using Multimodal Biometrics [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005 Conventional verification systems, such as those controlling access to a secure room, do not usually require the user to reauthenticate himself for continued access to the protected resource. This may not be sufficient for high-security environments in which the protected resource needs to be continuously monitored for unauthorized use.
Terence Sim +3 more
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, 2015 IntroThis chapter examines the use of biometrics techniques within forensic science. It discusses the historic connections between the subjects and then examines face and ear biometrics in detail.
Bustard, John +4 more
core +2 more sources