{"title":"基于MATLAB的人脸识别","authors":"I. Obagbuwa, Stefany Bam, Dineo Tiffany Moroka","doi":"10.1109/CSCI54926.2021.00331","DOIUrl":null,"url":null,"abstract":"This work sought to investigate how face recognition can be implemented in MATLAB to correctly detect and identify an individual using their face. Face recognition is a biometric technology that is used to recognize and authenticate a detected face in images or videos. This technology can be used in various industries for various purposes. The main goal of this work is to correctly authenticate an individual face using Convolutional Neural Networks (called AlexNet) in MATLAB.","PeriodicalId":206881,"journal":{"name":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","volume":"504 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Face Recognition Using MATLAB\",\"authors\":\"I. Obagbuwa, Stefany Bam, Dineo Tiffany Moroka\",\"doi\":\"10.1109/CSCI54926.2021.00331\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work sought to investigate how face recognition can be implemented in MATLAB to correctly detect and identify an individual using their face. Face recognition is a biometric technology that is used to recognize and authenticate a detected face in images or videos. This technology can be used in various industries for various purposes. The main goal of this work is to correctly authenticate an individual face using Convolutional Neural Networks (called AlexNet) in MATLAB.\",\"PeriodicalId\":206881,\"journal\":{\"name\":\"2021 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"volume\":\"504 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computational Science and Computational Intelligence (CSCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCI54926.2021.00331\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computational Science and Computational Intelligence (CSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCI54926.2021.00331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This work sought to investigate how face recognition can be implemented in MATLAB to correctly detect and identify an individual using their face. Face recognition is a biometric technology that is used to recognize and authenticate a detected face in images or videos. This technology can be used in various industries for various purposes. The main goal of this work is to correctly authenticate an individual face using Convolutional Neural Networks (called AlexNet) in MATLAB.