虹膜识别中一种新的编码匹配方法

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) Pub Date : 2013-06-16 DOI:10.1109/ICIS.2013.6607828

Steve Zhou, Junping Sun

{"title":"虹膜识别中一种新的编码匹配方法","authors":"Steve Zhou, Junping Sun","doi":"10.1109/ICIS.2013.6607828","DOIUrl":null,"url":null,"abstract":"Although there have been significant advancements in developing iris-based identification processes during recent years, there remains significant room for improvement. This paper presents an automatic iris recognition system including a novel approach to the iris localization and k-d tree code matching. In order to compare the k-d tree code-matching method proposed in this research, we have implement some of algorithms used in Iris recognition for the purposes of experiments and comparisons and achieved satisfactory results.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A novel approach for code match in iris recognition\",\"authors\":\"Steve Zhou, Junping Sun\",\"doi\":\"10.1109/ICIS.2013.6607828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although there have been significant advancements in developing iris-based identification processes during recent years, there remains significant room for improvement. This paper presents an automatic iris recognition system including a novel approach to the iris localization and k-d tree code matching. In order to compare the k-d tree code-matching method proposed in this research, we have implement some of algorithms used in Iris recognition for the purposes of experiments and comparisons and achieved satisfactory results.\",\"PeriodicalId\":345020,\"journal\":{\"name\":\"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIS.2013.6607828\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2013.6607828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 15

摘要

尽管近年来在开发基于虹膜的识别过程方面取得了重大进展，但仍有很大的改进空间。本文提出了一种自动虹膜识别系统，该系统包括一种新颖的虹膜定位方法和k-d树码匹配方法。为了比较本研究提出的k-d树码匹配方法，我们实现了虹膜识别中使用的一些算法进行实验和比较，取得了满意的结果。

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

A novel approach for code match in iris recognition

Although there have been significant advancements in developing iris-based identification processes during recent years, there remains significant room for improvement. This paper presents an automatic iris recognition system including a novel approach to the iris localization and k-d tree code matching. In order to compare the k-d tree code-matching method proposed in this research, we have implement some of algorithms used in Iris recognition for the purposes of experiments and comparisons and achieved satisfactory results.

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

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)

自引率

0.00%

发文量