{"title":"Face recognition approach based on two-dimensional subspace analysis and PNN","authors":"Benouis Mohamed, Scnouci B. Mohamed","doi":"10.1109/ISPS.2013.6581496","DOIUrl":null,"url":null,"abstract":"In this paper, we present an new approach to face recognition based on the combination of feature extraction methods, such as two-dimensional DWT-2DPCA and DWT-2DLDA, with a probabilistic neural networks. The technique 2D-DWT is used to eliminate the illumination, noise and redundancy of a face in order to reduce calculations of the probabilistic neural network operations.","PeriodicalId":222438,"journal":{"name":"2013 11th International Symposium on Programming and Systems (ISPS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 11th International Symposium on Programming and Systems (ISPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPS.2013.6581496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, we present an new approach to face recognition based on the combination of feature extraction methods, such as two-dimensional DWT-2DPCA and DWT-2DLDA, with a probabilistic neural networks. The technique 2D-DWT is used to eliminate the illumination, noise and redundancy of a face in order to reduce calculations of the probabilistic neural network operations.
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