{"title":"基于Viola-Jones算法的热图像人脸识别模糊预处理","authors":"Edwyn Martínez, Edmundo Bonilla, Eduardo Sánchez, Crispín Hernández, Roberto Morales","doi":"10.5121/ijcseit.2023.13502","DOIUrl":null,"url":null,"abstract":"This paper proposes to improve the Viola-Jones algorithm to identify facial features in thermal images using a fuzzy linguistic modifier. The purpose is to improve the image quality in the infrared plane and to facilitate the recognition stage, feature selection and emotion classification. The results obtained show that adding a preprocessing stage improves the capability of the Viola-Jones algorithm in identifying facial features in thermal images.","PeriodicalId":486748,"journal":{"name":"International journal of computer science, engineering and information technology","volume":"23 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuzzy Preprocessing of Viola-Jones Algorithm for Face Recognition in Thermal Images\",\"authors\":\"Edwyn Martínez, Edmundo Bonilla, Eduardo Sánchez, Crispín Hernández, Roberto Morales\",\"doi\":\"10.5121/ijcseit.2023.13502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes to improve the Viola-Jones algorithm to identify facial features in thermal images using a fuzzy linguistic modifier. The purpose is to improve the image quality in the infrared plane and to facilitate the recognition stage, feature selection and emotion classification. The results obtained show that adding a preprocessing stage improves the capability of the Viola-Jones algorithm in identifying facial features in thermal images.\",\"PeriodicalId\":486748,\"journal\":{\"name\":\"International journal of computer science, engineering and information technology\",\"volume\":\"23 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of computer science, engineering and information technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/ijcseit.2023.13502\",\"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 computer science, engineering and information technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/ijcseit.2023.13502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Preprocessing of Viola-Jones Algorithm for Face Recognition in Thermal Images
This paper proposes to improve the Viola-Jones algorithm to identify facial features in thermal images using a fuzzy linguistic modifier. The purpose is to improve the image quality in the infrared plane and to facilitate the recognition stage, feature selection and emotion classification. The results obtained show that adding a preprocessing stage improves the capability of the Viola-Jones algorithm in identifying facial features in thermal images.