{"title":"基于神经网络技术的人脸识别应用开发","authors":"K. Nikolskaia, Napolskih Ilya, A. Minbaleev","doi":"10.1109/IT&QM&IS.2019.8928392","DOIUrl":null,"url":null,"abstract":"Recognition and classification are the main tasks of machine learning with a wide range of applications: determining handwritten numbers, identifying objects in video recordings, diagnostics using MRI scanning, and much more. Currently, one of the most common applications of neural network technology is face recognition in photographs or in video. For example, corporations such as Facebook are currently using neural network technologies to identify a user's friends by their faces in general photos. The paper discusses the development of face recognition applications using neural network technologies. The developed system has a relatively small size and works with a sufficiently high accuracy.","PeriodicalId":285904,"journal":{"name":"2019 International Conference \"Quality Management, Transport and Information Security, Information Technologies\" (IT&QM&IS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Development of the Face Recognition Application Using Neural Networks Technology\",\"authors\":\"K. Nikolskaia, Napolskih Ilya, A. Minbaleev\",\"doi\":\"10.1109/IT&QM&IS.2019.8928392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recognition and classification are the main tasks of machine learning with a wide range of applications: determining handwritten numbers, identifying objects in video recordings, diagnostics using MRI scanning, and much more. Currently, one of the most common applications of neural network technology is face recognition in photographs or in video. For example, corporations such as Facebook are currently using neural network technologies to identify a user's friends by their faces in general photos. The paper discusses the development of face recognition applications using neural network technologies. The developed system has a relatively small size and works with a sufficiently high accuracy.\",\"PeriodicalId\":285904,\"journal\":{\"name\":\"2019 International Conference \\\"Quality Management, Transport and Information Security, Information Technologies\\\" (IT&QM&IS)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference \\\"Quality Management, Transport and Information Security, Information Technologies\\\" (IT&QM&IS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IT&QM&IS.2019.8928392\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference \"Quality Management, Transport and Information Security, Information Technologies\" (IT&QM&IS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IT&QM&IS.2019.8928392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of the Face Recognition Application Using Neural Networks Technology
Recognition and classification are the main tasks of machine learning with a wide range of applications: determining handwritten numbers, identifying objects in video recordings, diagnostics using MRI scanning, and much more. Currently, one of the most common applications of neural network technology is face recognition in photographs or in video. For example, corporations such as Facebook are currently using neural network technologies to identify a user's friends by their faces in general photos. The paper discusses the development of face recognition applications using neural network technologies. The developed system has a relatively small size and works with a sufficiently high accuracy.