{"title":"用于虹膜识别的嵌入式系统","authors":"Raida Hentati, M. Bousselmi, M. Abid","doi":"10.1109/DTIS.2010.5487592","DOIUrl":null,"url":null,"abstract":"Several systems require authenticating a person's identity before giving access to resources. With new advances in technology, biometrics is one of the most promising techniques in human recognition. Biometrics intends to identify a person by his physical and/or behavioural characteristics. This paper presents an approach for human authentication based on iris texture analysis. In this paper, we present a HW/SW implementation algorithm for detection and localisation of iris based on shape properties. The designed system has been implemented in a CYCLONE II DE2 Board using the NIOS II processor which is characterized by its flexibility and programmability. The data base CASIA version 1.0 is used for the test. The experimental results of the approach show the performance of our algorithms.","PeriodicalId":423978,"journal":{"name":"5th International Conference on Design & Technology of Integrated Systems in Nanoscale Era","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"An embedded system for iris recognition\",\"authors\":\"Raida Hentati, M. Bousselmi, M. Abid\",\"doi\":\"10.1109/DTIS.2010.5487592\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Several systems require authenticating a person's identity before giving access to resources. With new advances in technology, biometrics is one of the most promising techniques in human recognition. Biometrics intends to identify a person by his physical and/or behavioural characteristics. This paper presents an approach for human authentication based on iris texture analysis. In this paper, we present a HW/SW implementation algorithm for detection and localisation of iris based on shape properties. The designed system has been implemented in a CYCLONE II DE2 Board using the NIOS II processor which is characterized by its flexibility and programmability. The data base CASIA version 1.0 is used for the test. The experimental results of the approach show the performance of our algorithms.\",\"PeriodicalId\":423978,\"journal\":{\"name\":\"5th International Conference on Design & Technology of Integrated Systems in Nanoscale Era\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"5th International Conference on Design & Technology of Integrated Systems in Nanoscale Era\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DTIS.2010.5487592\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"5th International Conference on Design & Technology of Integrated Systems in Nanoscale Era","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DTIS.2010.5487592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
摘要
一些系统需要在访问资源之前验证一个人的身份。随着技术的不断进步,生物识别技术已成为人类识别领域最有前途的技术之一。生物识别技术旨在通过一个人的身体和/或行为特征来识别他。提出了一种基于虹膜纹理分析的人体身份认证方法。在本文中,我们提出了一种基于形状属性的虹膜检测和定位的硬件/软件实现算法。所设计的系统已在CYCLONE II DE2板上使用NIOS II处理器实现,该处理器具有灵活性和可编程性。测试使用的数据库是CASIA 1.0版本。实验结果表明了该方法的有效性。
Several systems require authenticating a person's identity before giving access to resources. With new advances in technology, biometrics is one of the most promising techniques in human recognition. Biometrics intends to identify a person by his physical and/or behavioural characteristics. This paper presents an approach for human authentication based on iris texture analysis. In this paper, we present a HW/SW implementation algorithm for detection and localisation of iris based on shape properties. The designed system has been implemented in a CYCLONE II DE2 Board using the NIOS II processor which is characterized by its flexibility and programmability. The data base CASIA version 1.0 is used for the test. The experimental results of the approach show the performance of our algorithms.