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基于遗传算法的最优特征提取的虹膜识别

于 2022-03-12 发布 文件大小:1.08 kB
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目前已在近年来的准确和可靠的个人identificationinfrastructure需要快速增加,和生物识别技术已经成为安全的一项重要技术。虹膜识别是近年来最可靠的生物特征识别技术。虹膜是人体最重要的生物特征的候选人,可用于区分个人。基于高质量的成像系统,人眼虹膜具有独特的细节非常多。特征提取的虹膜可以用来识别个人,即使是基因完全相同的双胞胎。基于虹膜的识别系统可以无创的用户由于虹膜

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  • fecgm
    独立成份分析(ICA)以及winner滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)
    2010-05-27 23:08:51下载
    积分:1
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    it is a software ti localize wireless sensor network
    2012-09-20 09:18:57下载
    积分:1
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    2013-11-14 16:34:24下载
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    2009-04-12 18:22:26下载
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    2013-11-02 00:16:33下载
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    2012-11-26 16:20:20下载
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    2019-11-20 13:56:34下载
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  • bianyuantiqu
    这个还不错,对自己的matlab水平会有明显的提高(great)
    2010-10-30 22:13:31下载
    积分:1
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