{"title":"基于像素的耳部生物特征提取","authors":"P. R. Kumar, S. S. Dhenakaran","doi":"10.1109/MVIP.2012.6428756","DOIUrl":null,"url":null,"abstract":"Ear Biometrics identification is rapidly growing in current biometric industry because of its unique features, stableness and passive of human involvement. Ear biometric system better suits for automatic identification of individual or human. We propose a pixel based feature identification approach for Ear biometric model.","PeriodicalId":170271,"journal":{"name":"2012 International Conference on Machine Vision and Image Processing (MVIP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Pixel based feature extraction for ear biometrics\",\"authors\":\"P. R. Kumar, S. S. Dhenakaran\",\"doi\":\"10.1109/MVIP.2012.6428756\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ear Biometrics identification is rapidly growing in current biometric industry because of its unique features, stableness and passive of human involvement. Ear biometric system better suits for automatic identification of individual or human. We propose a pixel based feature identification approach for Ear biometric model.\",\"PeriodicalId\":170271,\"journal\":{\"name\":\"2012 International Conference on Machine Vision and Image Processing (MVIP)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Machine Vision and Image Processing (MVIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MVIP.2012.6428756\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Machine Vision and Image Processing (MVIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MVIP.2012.6428756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ear Biometrics identification is rapidly growing in current biometric industry because of its unique features, stableness and passive of human involvement. Ear biometric system better suits for automatic identification of individual or human. We propose a pixel based feature identification approach for Ear biometric model.
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