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dc.contributor.authorCHU, Chia-Te
dc.contributor.authorCHEN, Ching-Han
dc.date.accessioned2009-06-02T07:07:10Z
dc.date.accessioned2020-05-25T06:47:46Z-
dc.date.available2009-06-02T07:07:10Z
dc.date.available2020-05-25T06:47:46Z-
dc.date.issued2009-02-11T07:29:16Z
dc.date.submitted2009-02-11
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/11178-
dc.description.abstractThis paper proposes a wavelet probabilistic neural network (WPNN) for face biometric classifier. The WPNN combines wavelet neural network and probabilistic neural network for a new classifier model. A simple and fast training algorithm, particle swarm optimization (PSO), is also introduced for training the wavelet probabilistic neural network. In face matching, the IIS face database is used. The experimental results prove the good recognition performance of the proposed method.
dc.description.sponsorship淡江大學,台北縣
dc.format.extent5p.
dc.relation.ispartofseries2008 ICS會議
dc.subjectFace recognition
dc.subjectwavelet transform
dc.subjectprobabilistic neural network
dc.subject.otherImage Processing
dc.titleA Novel Biometric Classifier for Face Recognition
分類:2008年 ICS 國際計算機會議

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