M.A.F.M. Jusoh, M. Shahrir, Fazly Mohd Yusop, Chai Tong Yuen
{"title":"自商象的LogAbout映射","authors":"M.A.F.M. Jusoh, M. Shahrir, Fazly Mohd Yusop, Chai Tong Yuen","doi":"10.1109/ICCIS.2010.5518582","DOIUrl":null,"url":null,"abstract":"An illumination normalization technique for face recognition by the fusion of Self Quotient Image (SQI) and LogAbout has been proposed. The proposed method is evaluated by using internal face database and Yale face database. The proposed method had shown promising result from the Equal Error Rate (EER) point of view. Our method reported nearly 10% of improvements on average compared to SQI and LogAbout.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LogAbout mapping of Self Quotient Image\",\"authors\":\"M.A.F.M. Jusoh, M. Shahrir, Fazly Mohd Yusop, Chai Tong Yuen\",\"doi\":\"10.1109/ICCIS.2010.5518582\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An illumination normalization technique for face recognition by the fusion of Self Quotient Image (SQI) and LogAbout has been proposed. The proposed method is evaluated by using internal face database and Yale face database. The proposed method had shown promising result from the Equal Error Rate (EER) point of view. Our method reported nearly 10% of improvements on average compared to SQI and LogAbout.\",\"PeriodicalId\":445473,\"journal\":{\"name\":\"2010 IEEE Conference on Cybernetics and Intelligent Systems\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Conference on Cybernetics and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIS.2010.5518582\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Conference on Cybernetics and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIS.2010.5518582","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An illumination normalization technique for face recognition by the fusion of Self Quotient Image (SQI) and LogAbout has been proposed. The proposed method is evaluated by using internal face database and Yale face database. The proposed method had shown promising result from the Equal Error Rate (EER) point of view. Our method reported nearly 10% of improvements on average compared to SQI and LogAbout.