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    Ko-Aks (Norway)

    企业EST. 2000
    27论文总数
    519引用总数

    论文量&引用量时间轴

    机构学者

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    Jon Yngve Hardeberg
    Jon Yngve Hardeberg
    Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology
    论文:3引用:0H-index:0
    Ebba Ossiannilsson
    Ebba Ossiannilsson
    Swedish Association for Distance Education, International Council for Open and Distance Education
    论文:2引用:0H-index:0
    Hilding Sponberg
    Hilding Sponberg
    Norwegian University of Science and Technology
    论文:2引用:0H-index:0
    Radovan Slavuj
    Radovan Slavuj
    Norwegian University of Science and Technology
    论文:2引用:0H-index:0
    C. Charrier
    C. Charrier
    GREYC (unite mixte CNRS) situe sur le campus II de l' Universite de Caen Basse Normandie
    论文:1引用:0H-index:0
    Oke Gerke
    Oke Gerke
    Odense University Hospital
    论文:1引用:0H-index:0
    Koen Simoens
    Koen Simoens
    K.;U.
    论文:1引用:0H-index:0
    Pierre Gouton
    Pierre Gouton
    UMR-CNRS 5158, Universite de Bourgogne
    论文:1引用:0H-index:0
    Kristian Lampe
    Kristian Lampe
    Finnish Office for Health Technology
    论文:1引用:0H-index:0

    论文(27)

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    1Aktør: Vi Skal Satse Mere På Praksisnær Forskning
    Gry Høngsmark Knudsen, Per Kjær, Thomas Illum Hansen, Ulla Viskum, Poul Skov Dahl
    2020
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    2Can Image Quality Enhancement Methods Improve the Performance of Biometric Systems for Degraded Face Images?
    Xinwei Liu,Marius Pedersen,Christophe Charrier,Patrick Bours

    The accuracy of face recognition systems is significantly affected by the quality of face sample images. Using degraded face sample images can significantly decrease the performance of face recognition systems. There are not many face quality enhancement methods in the research field. Therefore, it is interesting to investigate whether existing image quality enhancement methods can improve the performance of biometric systems for degraded face images. In this paper, we conduct an experiment to apply nine image enhancement methods to a face database, which contains high quality and degraded face sample images. The experimental results show that some of selected enhancement methods can improve face recognition system performance.

    2018CVCS(2018)引用:4
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    3Ledere I Det Offentlige Vil Gøre Det Godt for Borgerne - Men... Rammerne Spænder Ben for De Gode Hensigter
    Peter Sørensen, Poul Skov Dahl
    2018
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    4Clock Control Sequence Reconstruction in the Generalized Shrinking Generator
    Jan Trontveit

    The shrinking generator is a popular representation of pseudorandom sequence generators (PRSGs) that employ so-called irregular clocking. This familiy of PRSGs is characterized by having one or more linear feedback shift registers (LFSRs), whose clocking is controlled by the output sequence of one of the subgenerators. Such a sequence is called clock-control sequence. In this thesis, an algorithm is presented that reconstructs the clock-control sequence in the generalized shrinking generator in the presence of noise. The shrinking generator is first reduced to a step1-stepE generator (another class of PRSGs with irregular clocking), where E depends on the maximum length of runs of zeros in the output sequence of the clocking part of the generator. Then a directed depth-first like search for optimal and suboptimal paths in the edit distance matrix corresponding to the generator is performed. The permitted path weight deviation from the optimum is determined by the noise level in the statistical model of the generator. Influence of inadequate estimation of the length of the output sequence of the clocked LFSR without irregular clocking on the level of equivalent noise is discussed. The experimental results that are presented show that the total number of candidate clock-control sequences increases moderately as the necessary clock-control sequence length increases. The advantage of this attack over the other attacks reported in the litterature is that this attack is effective even if the noise level is relatively high and that the solution is guaranteed to

    2016International Conference on Security and Cryptography(2016)引用:23
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    5Efteruddannelse Og Kompetenceudvikling
    Peter Sørensen, Poul Skov Dahl
    2016
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    立即登录,查看全部 27 篇论文

    合作机构(22)

    Centre for Higher Education合作论文 2
    Östfold大学学院合作论文 1
    Biomechanics Institute of Valencia合作论文 1
    柏林工业大学合作论文 1
    Royal Holloway University of London合作论文 1
    诺曼底大学合作论文 1
    卡尔士达大学合作论文 1
    FH Aachen合作论文 1
    鲁汶大学合作论文 1
    埃尔朗根-纽伦堡大学合作论文 1

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