{"title":"An Improved Face Recognition Method Based on Gabor Wavelet Transform and SVM","authors":"Zaiying Liu, Lixiao Zhang, Linlin Zhu","doi":"10.1109/ISCID.2012.101","DOIUrl":null,"url":null,"abstract":"This paper proposed an improved face recognition method based on Gabor wavelet transform and SVM. Firstly, the approach utilizes discrete Gabor wavelet transform to face images. then the dimensions of Gabor feature vectors are reduced and transform feature base can be got by using the improved Fisher face method proposed in this paper. by projecting the face image onto the base, the transform coefficient used to be the input of classifier can be got. Finally face image can be classified using a SVM with error correction. Experiment results show that the method of this paper is robust and effective.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fifth International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2012.101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper proposed an improved face recognition method based on Gabor wavelet transform and SVM. Firstly, the approach utilizes discrete Gabor wavelet transform to face images. then the dimensions of Gabor feature vectors are reduced and transform feature base can be got by using the improved Fisher face method proposed in this paper. by projecting the face image onto the base, the transform coefficient used to be the input of classifier can be got. Finally face image can be classified using a SVM with error correction. Experiment results show that the method of this paper is robust and effective.
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