{"title":"基于成分分析的人工神经网络混合人脸识别系统","authors":"D. K. Yesu, Shivam Shandilya, K. Ankit","doi":"10.14299/IJSER.2021.03.02","DOIUrl":null,"url":null,"abstract":"Digital Face Recognition is a problem in Computer Vision, Computer Human Interface and especially in Biometrics for identifying and verifying the identity of persons. This paper presents a novel Hybrid Face Recognition System (FRS) basing on and modifying the existing component analysis based FRS.","PeriodicalId":14354,"journal":{"name":"International journal of scientific and engineering research","volume":"12 1","pages":"39-44"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Component Analysis based Hybrid Face Recognition System using Artificial Neural Network\",\"authors\":\"D. K. Yesu, Shivam Shandilya, K. Ankit\",\"doi\":\"10.14299/IJSER.2021.03.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital Face Recognition is a problem in Computer Vision, Computer Human Interface and especially in Biometrics for identifying and verifying the identity of persons. This paper presents a novel Hybrid Face Recognition System (FRS) basing on and modifying the existing component analysis based FRS.\",\"PeriodicalId\":14354,\"journal\":{\"name\":\"International journal of scientific and engineering research\",\"volume\":\"12 1\",\"pages\":\"39-44\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of scientific and engineering research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14299/IJSER.2021.03.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of scientific and engineering research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14299/IJSER.2021.03.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Component Analysis based Hybrid Face Recognition System using Artificial Neural Network
Digital Face Recognition is a problem in Computer Vision, Computer Human Interface and especially in Biometrics for identifying and verifying the identity of persons. This paper presents a novel Hybrid Face Recognition System (FRS) basing on and modifying the existing component analysis based FRS.
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