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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 ? ) Computer 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 Gender Classification Based on PCA and LBP LI Kun-lun, WANG Ming-yan (Department of Computer, Nanchang University, Nanchang 330031, China) Abstract: The system which complyd the characteristic of principal components psychotic analytic thinking (PCA) with local anaesthetic binary blue print (LBP)s com bines the profit in ball-shaped features of PCA with the advantage in Details of local texture of LBP and could rive better characteristics from face image for embolden vector railcar (SVM) to sexual activity classification.Using Cascade method rather than traditional LBP method to ex tract LBP histogram characteristics of images and combine the features of LBP and PCA from extraction for SVM. The experimental results see that the characteristics combined PCA with LBP has obvious advantages than the PCA and LBP singly in Gender identification. name words: texture; gender classification; principal components analysis; local binary pattern;support vector machine ???????????????????????? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ??????????????????? ? ? 20 ?? 90 ?????? ? ????????????????????? ? ?? ? ? ? ? ? ? ? ? ? ? ? ? Adaboost ? ? ? ? ? ? ? ? 1991 ? ?Gollomb ? ? [1] ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? 30x30 ???????? ? ? 90 ???? ??????? 91.9% ? 1995 ? ?Brunelli ?? [2]??? H! yperBF ?? ?...If you want to get a total essay, order it on our website: BestEssayCheap.com

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