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E-mail: eduf@cccc.net.cn http://www.dnzs.net.cn Tel:+86-551-5690963 5690964 ISSN 1009-3044 ? 5 ?? 2 w ed and Te hn log ? ) computing machine Kno8 l?ge (2009c? o10 y ???? ??? Vol.5,No.28, October 2009, pp.8023 ?? PCA ? LBP ????????? ??? ???? ? ???? ?????? ? ?? ?? 330031 ? ?? ? ??????? (PCA) ????????? (LBP) ? ? ? ? ? ? ? ? ? ? ? ? ? PCA ? ? ? ? ? ? ? ? ? ? ? ? ? LBP ? ????????????? ? ????????????????????? ?SVM ? ????????????? ? ???? ?? LBP ??? ? ???? LBP ?????? ? ???????????? LBP ????? ? ??????? LBP ??? PCA ? ?????? SVM ? ?????? ?LBP ? PCA ?????????? PCA ??? LBP ??????????????? ? ??? ? ?? ? ???? ? ????? ? ?????? ? ????? ????? ?TP391 ????? ?A ???? ?1009-3044(2009)28-8023-03 sexual activity Classification establish on PCA and LBP LI Kun-lun, WANG Ming-yan (Department of Computer, Nanchang University, Nanchang 330031, China) nip: The method which combined the feature of important components digest (PCA) with local anaesthetic binary star pattern (LBP)s com bines the prefer in planetary features of PCA with the emolument in Details of local metric grain of LBP and could paint a picture better characteristics from formulation image for support transmitter appliance (SVM) to gender classification.

Using cascade method rather than handed-down LBP method to ex share LBP histogram characteristics of images and combine the features of LBP and PCA from extraction for SVM. The observational results immortalise that the characteristics combined PCA with LBP has self-evident advantages than the PCA and LBP separately in Gender identification. keystone words: texture; gender classification; principal components synopsis; local binary pattern;support vector machine ???????????????????????? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ??????????????????? ? ? 20 ?? 90 ?????? ? ????????????????????? ? ?? ? ? ? ? ? ? ? ? ? ? ? ? Adaboost ? ? ? ? ? ? ? ? 1991 ? ?Gollomb ? ? [1] ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? 30x30 ???????? ? ? 90 ??????????? 91.9% ? 1995 ? ?Brunelli ?? [2]??? HyperBF ?? ?...

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