{"title":"\"Face Recognition using Processed Histogram and Phase-Only Correlation (POC)\"","authors":"Fazl-e-Basit, M. Javed, U. Qayyum","doi":"10.1109/ICET.2007.4516350","DOIUrl":null,"url":null,"abstract":"This paper proposes an automatic face recognition technique using mutual combination of bin-based histogram processing and phase-only correlation (POC) - based techniques to obtain effective recognition accuracy. The first phase preprocesses the faces with bin-based histogram approach and extracts the preliminary results which are rotation invariant in nature. The second phase verifies the face patterns with POC- based matching technique in order to obtain the exact results which are the same not only distribution-wise but also content- wise. Time effective preprocessing by bin-based histogram approach filters out the mismatches and helps in reduction of the overall complexity of POC. The empirical results obtained on ORL database shows the recognition accuracy of 99.5%, which is very promising and is comparable with any other face recognition scheme.","PeriodicalId":346773,"journal":{"name":"2007 International Conference on Emerging Technologies","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Emerging Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICET.2007.4516350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
This paper proposes an automatic face recognition technique using mutual combination of bin-based histogram processing and phase-only correlation (POC) - based techniques to obtain effective recognition accuracy. The first phase preprocesses the faces with bin-based histogram approach and extracts the preliminary results which are rotation invariant in nature. The second phase verifies the face patterns with POC- based matching technique in order to obtain the exact results which are the same not only distribution-wise but also content- wise. Time effective preprocessing by bin-based histogram approach filters out the mismatches and helps in reduction of the overall complexity of POC. The empirical results obtained on ORL database shows the recognition accuracy of 99.5%, which is very promising and is comparable with any other face recognition scheme.