E. Assunção, J. R. Pereira, M. Costa, C. Filho, Rafael Padilla
{"title":"基于对角线性判别分析的虹膜纹理表示与分类","authors":"E. Assunção, J. R. Pereira, M. Costa, C. Filho, Rafael Padilla","doi":"10.1109/IVMSPW.2011.5970356","DOIUrl":null,"url":null,"abstract":"Subspace methods are frequently used in pattern recognition problems aiming to reduce space dimension by determining its projection vectors. This paper presents subspace methods for feature extraction in an iris image called two-dimensional linear discriminant analysis (2DLDA), diagonal linear discriminant analysis (DiaLDA) and their combination (DiaLDA+2DLDA). The methods were applied in an UBIRIS image database, and the experimental results showed that DiaLDA+2DLDA overcame the 2DLDA method in recognition accuracy. Both methods are powerful in terms of dimension reduction and class discrimination.","PeriodicalId":405588,"journal":{"name":"2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Representation and classification of iris textures based on diagonal linear discriminant analysis\",\"authors\":\"E. Assunção, J. R. Pereira, M. Costa, C. Filho, Rafael Padilla\",\"doi\":\"10.1109/IVMSPW.2011.5970356\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Subspace methods are frequently used in pattern recognition problems aiming to reduce space dimension by determining its projection vectors. This paper presents subspace methods for feature extraction in an iris image called two-dimensional linear discriminant analysis (2DLDA), diagonal linear discriminant analysis (DiaLDA) and their combination (DiaLDA+2DLDA). The methods were applied in an UBIRIS image database, and the experimental results showed that DiaLDA+2DLDA overcame the 2DLDA method in recognition accuracy. Both methods are powerful in terms of dimension reduction and class discrimination.\",\"PeriodicalId\":405588,\"journal\":{\"name\":\"2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVMSPW.2011.5970356\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVMSPW.2011.5970356","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Representation and classification of iris textures based on diagonal linear discriminant analysis
Subspace methods are frequently used in pattern recognition problems aiming to reduce space dimension by determining its projection vectors. This paper presents subspace methods for feature extraction in an iris image called two-dimensional linear discriminant analysis (2DLDA), diagonal linear discriminant analysis (DiaLDA) and their combination (DiaLDA+2DLDA). The methods were applied in an UBIRIS image database, and the experimental results showed that DiaLDA+2DLDA overcame the 2DLDA method in recognition accuracy. Both methods are powerful in terms of dimension reduction and class discrimination.