{"title":"基于处理直方图和纯相位相关(POC)的人脸识别","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":"{\"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}","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}
"Face Recognition using Processed Histogram and Phase-Only Correlation (POC)"
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.