自动虹膜掩膜细化高性能虹膜识别

2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications Pub Date : 2009-05-15 DOI:10.1109/CIB.2009.4925686

Yung-Hui Li, M. Savvides

{"title":"自动虹膜掩膜细化高性能虹膜识别","authors":"Yung-Hui Li, M. Savvides","doi":"10.1109/CIB.2009.4925686","DOIUrl":null,"url":null,"abstract":"How to estimate artifacts on an iris image in polar domain is an important question for any iris recognition system which pursues high recognition rate as its goal. In literature, there are many different existing algorithm that estimate iris occlusion in either Cartesian or polar coordinate. In this paper, our goal is not to propose another new method to compete with existing method. Rather, our goal is to propose a new algorithm which can take any iris mask estimated by existing algorithm, and refine it into a much more accurate mask. In this way, our proposed method could co-work with any other existing algorithm and improve iris recognition performance. Experimental results show our proposed method can improve iris recognition rate by a great lead compared to the performance of the system using the unrefined iris masks.","PeriodicalId":395538,"journal":{"name":"2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Automatic iris mask refinement for high performance iris recognition\",\"authors\":\"Yung-Hui Li, M. Savvides\",\"doi\":\"10.1109/CIB.2009.4925686\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"How to estimate artifacts on an iris image in polar domain is an important question for any iris recognition system which pursues high recognition rate as its goal. In literature, there are many different existing algorithm that estimate iris occlusion in either Cartesian or polar coordinate. In this paper, our goal is not to propose another new method to compete with existing method. Rather, our goal is to propose a new algorithm which can take any iris mask estimated by existing algorithm, and refine it into a much more accurate mask. In this way, our proposed method could co-work with any other existing algorithm and improve iris recognition performance. Experimental results show our proposed method can improve iris recognition rate by a great lead compared to the performance of the system using the unrefined iris masks.\",\"PeriodicalId\":395538,\"journal\":{\"name\":\"2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIB.2009.4925686\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIB.2009.4925686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

对于以高识别率为目标的虹膜识别系统来说，如何在极域中估计虹膜图像上的伪影是一个重要的问题。在文献中，已有许多不同的算法在笛卡尔坐标或极坐标下估计虹膜遮挡。在本文中，我们的目标不是提出另一种新方法来与现有方法竞争。相反，我们的目标是提出一种新的算法，该算法可以使用现有算法估计的任何虹膜掩膜，并将其改进为更精确的掩膜。这样，我们提出的方法可以与任何其他现有算法协同工作，提高虹膜识别性能。实验结果表明，该方法与未经改进的虹膜掩模相比，虹膜识别率有较大提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Automatic iris mask refinement for high performance iris recognition

How to estimate artifacts on an iris image in polar domain is an important question for any iris recognition system which pursues high recognition rate as its goal. In literature, there are many different existing algorithm that estimate iris occlusion in either Cartesian or polar coordinate. In this paper, our goal is not to propose another new method to compete with existing method. Rather, our goal is to propose a new algorithm which can take any iris mask estimated by existing algorithm, and refine it into a much more accurate mask. In this way, our proposed method could co-work with any other existing algorithm and improve iris recognition performance. Experimental results show our proposed method can improve iris recognition rate by a great lead compared to the performance of the system using the unrefined iris masks.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2009 IEEE Workshop on Computational Intelligence in Biometrics: Theory, Algorithms, and Applications

自引率

0.00%

发文量