{"title":"一种人脸识别的组合方法","authors":"Laura Mukhamadiyeva, A. Moldagulova","doi":"10.1109/ICICT58900.2023.00021","DOIUrl":null,"url":null,"abstract":"Nowadays face recognition methods are in great interest of computer vision area. The development of a face recognition method that provides a high level of reliability of the solution in the absence of restrictions on the source image is a very crucial task. The paper deals with analysis of existing algorithms for recognizing the geometric characteristics of the face. As a result a combined method for identifying the face was developed. The main goal of this paper is to develop methods for recognizing and detecting faces that increase the reliability of identification of objects of analysis, reduce the level of false recognition, reduce the training time of the classifier and the time of preliminary processing and recognition of the image.","PeriodicalId":425057,"journal":{"name":"2023 6th International Conference on Information and Computer Technologies (ICICT)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Combined Method for Face Recognition\",\"authors\":\"Laura Mukhamadiyeva, A. Moldagulova\",\"doi\":\"10.1109/ICICT58900.2023.00021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays face recognition methods are in great interest of computer vision area. The development of a face recognition method that provides a high level of reliability of the solution in the absence of restrictions on the source image is a very crucial task. The paper deals with analysis of existing algorithms for recognizing the geometric characteristics of the face. As a result a combined method for identifying the face was developed. The main goal of this paper is to develop methods for recognizing and detecting faces that increase the reliability of identification of objects of analysis, reduce the level of false recognition, reduce the training time of the classifier and the time of preliminary processing and recognition of the image.\",\"PeriodicalId\":425057,\"journal\":{\"name\":\"2023 6th International Conference on Information and Computer Technologies (ICICT)\",\"volume\":\"205 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 6th International Conference on Information and Computer Technologies (ICICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICT58900.2023.00021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Conference on Information and Computer Technologies (ICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICT58900.2023.00021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nowadays face recognition methods are in great interest of computer vision area. The development of a face recognition method that provides a high level of reliability of the solution in the absence of restrictions on the source image is a very crucial task. The paper deals with analysis of existing algorithms for recognizing the geometric characteristics of the face. As a result a combined method for identifying the face was developed. The main goal of this paper is to develop methods for recognizing and detecting faces that increase the reliability of identification of objects of analysis, reduce the level of false recognition, reduce the training time of the classifier and the time of preliminary processing and recognition of the image.