{"title":"基于小波包分解和Hopfield神经网络的人脸识别","authors":"Junying Gan, Mengfei Liu","doi":"10.1109/ICWAPR.2009.5207470","DOIUrl":null,"url":null,"abstract":"In this paper, we use edge information for face recognition. In order to get more details but less noise of an image, we decomposed the image with wavelet packets before the process of edge detection. After the edge detection, a logical data which only contains elements of 0 or 1 was introduced to the Hopfield neural network. The proposed algorithm is tested on ORL face database and the result is found to be perfect.","PeriodicalId":424264,"journal":{"name":"2009 International Conference on Wavelet Analysis and Pattern Recognition","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Face recognition using wavelet packets decomposition and Hopfield neural network\",\"authors\":\"Junying Gan, Mengfei Liu\",\"doi\":\"10.1109/ICWAPR.2009.5207470\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we use edge information for face recognition. In order to get more details but less noise of an image, we decomposed the image with wavelet packets before the process of edge detection. After the edge detection, a logical data which only contains elements of 0 or 1 was introduced to the Hopfield neural network. The proposed algorithm is tested on ORL face database and the result is found to be perfect.\",\"PeriodicalId\":424264,\"journal\":{\"name\":\"2009 International Conference on Wavelet Analysis and Pattern Recognition\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Wavelet Analysis and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWAPR.2009.5207470\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Wavelet Analysis and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWAPR.2009.5207470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Face recognition using wavelet packets decomposition and Hopfield neural network
In this paper, we use edge information for face recognition. In order to get more details but less noise of an image, we decomposed the image with wavelet packets before the process of edge detection. After the edge detection, a logical data which only contains elements of 0 or 1 was introduced to the Hopfield neural network. The proposed algorithm is tested on ORL face database and the result is found to be perfect.
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