{"title":"基于Choquet积分的指纹、人脸和虹膜的分数级融合","authors":"Lamia Rzouga Haddada, N. B. Ben Amara","doi":"10.1109/NanofIM49467.2019.9233483","DOIUrl":null,"url":null,"abstract":"Multimodal biometric systems fuse information from multiple modalities to overcome limitations of the unimodal biometric system. In this paper, we highlight recent biometric technologies that have been applied across a variety of fields. Furthermore, we propose the fusion of three unimodal biometric verification systems, based on the fingerprint, the face and the iris. The fusion of modalities is made at score level based on Choquet integral using particle swarm optimization to set their fuzzy measures. The experimental results show that the proposal contributes to improve the unimodal performance system leading to a low equal error rate of 0.1%.","PeriodicalId":438378,"journal":{"name":"2019 5th International Conference on Nanotechnology for Instrumentation and Measurement (NanofIM)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Score-Level Fusion of Fingerprint, Face and Iris based on Choquet Integral\",\"authors\":\"Lamia Rzouga Haddada, N. B. Ben Amara\",\"doi\":\"10.1109/NanofIM49467.2019.9233483\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multimodal biometric systems fuse information from multiple modalities to overcome limitations of the unimodal biometric system. In this paper, we highlight recent biometric technologies that have been applied across a variety of fields. Furthermore, we propose the fusion of three unimodal biometric verification systems, based on the fingerprint, the face and the iris. The fusion of modalities is made at score level based on Choquet integral using particle swarm optimization to set their fuzzy measures. The experimental results show that the proposal contributes to improve the unimodal performance system leading to a low equal error rate of 0.1%.\",\"PeriodicalId\":438378,\"journal\":{\"name\":\"2019 5th International Conference on Nanotechnology for Instrumentation and Measurement (NanofIM)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 5th International Conference on Nanotechnology for Instrumentation and Measurement (NanofIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NanofIM49467.2019.9233483\",\"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 5th International Conference on Nanotechnology for Instrumentation and Measurement (NanofIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NanofIM49467.2019.9233483","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Score-Level Fusion of Fingerprint, Face and Iris based on Choquet Integral
Multimodal biometric systems fuse information from multiple modalities to overcome limitations of the unimodal biometric system. In this paper, we highlight recent biometric technologies that have been applied across a variety of fields. Furthermore, we propose the fusion of three unimodal biometric verification systems, based on the fingerprint, the face and the iris. The fusion of modalities is made at score level based on Choquet integral using particle swarm optimization to set their fuzzy measures. The experimental results show that the proposal contributes to improve the unimodal performance system leading to a low equal error rate of 0.1%.