{"title":"Illumination Normalization Based on Simplified Local Binary Patterns for A Face Verification System","authors":"Q. Tao, R. Veldhuis","doi":"10.1109/BCC.2007.4430537","DOIUrl":null,"url":null,"abstract":"Illumination normalization is a very important step in face recognition. In this paper we propose a simple implementation of local binary patterns, which effectively reduces the variability caused by illumination changes. In combination with a likelihood ratio classifier, this illumination normalization method achieves very good recognition performance, with respect to both discrimination and generalization. A user verification system using this method has been successfully implemented on a mobile platform.","PeriodicalId":389417,"journal":{"name":"2007 Biometrics Symposium","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Biometrics Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BCC.2007.4430537","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 35
Abstract
Illumination normalization is a very important step in face recognition. In this paper we propose a simple implementation of local binary patterns, which effectively reduces the variability caused by illumination changes. In combination with a likelihood ratio classifier, this illumination normalization method achieves very good recognition performance, with respect to both discrimination and generalization. A user verification system using this method has been successfully implemented on a mobile platform.
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