{"title":"A Face Recognition Approach Based on Nearest Neighbor Interpolation and Local Binary Pattern","authors":"Josky Aïzan, E. C. Ezin, C. Motamed","doi":"10.1109/SITIS.2016.21","DOIUrl":null,"url":null,"abstract":"In this paper, we present a novel approachfor face recognition which consists of a dimensionalityreduction of face feature vectors. The image scaling is firstlyconducted on an input face image. Then we applied the LocalBinary Pattern (LBP) operator by dividing the face imageinto non-overlapped regions. LBP histograms are extractedfrom each region and concatenated into a single one thatrepresents the face image. Nearest neighbor classifier isused to perform recognition with Chi square function asa dissimilarity measure. Simulation experiments are doneusing the ORL (Olivetti Research Laboratory) databaseshowing the efficiency of the proposed approach with 97.5%as recognition rate.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2016.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, we present a novel approachfor face recognition which consists of a dimensionalityreduction of face feature vectors. The image scaling is firstlyconducted on an input face image. Then we applied the LocalBinary Pattern (LBP) operator by dividing the face imageinto non-overlapped regions. LBP histograms are extractedfrom each region and concatenated into a single one thatrepresents the face image. Nearest neighbor classifier isused to perform recognition with Chi square function asa dissimilarity measure. Simulation experiments are doneusing the ORL (Olivetti Research Laboratory) databaseshowing the efficiency of the proposed approach with 97.5%as recognition rate.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
