基于手指静脉形态的生物识别系统

3rd IEEE International Work-Conference on Bioinspired Intelligence Pub Date : 2014-07-16 DOI:10.1109/IWOBI.2014.6913940

Abrahan Perez Vega, C. Travieso, J. B. Alonso

{"title":"基于手指静脉形态的生物识别系统","authors":"Abrahan Perez Vega, C. Travieso, J. B. Alonso","doi":"10.1109/IWOBI.2014.6913940","DOIUrl":null,"url":null,"abstract":"This paper proposes a biometric system to identify people based on the pattern of finger vein. The system uses a database of human index finger images acquired on infrared range. The present proposal has applied Sobel detector, enhancement filter and a binarization process to get the vein pattern. The testing results have reached an equal error rate of 27.56%, and a Genuine Acceptance Rate of 100% for a False Acceptance Rate of 0%.","PeriodicalId":433659,"journal":{"name":"3rd IEEE International Work-Conference on Bioinspired Intelligence","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Biometric personal identification system based on patterns created by finger veins\",\"authors\":\"Abrahan Perez Vega, C. Travieso, J. B. Alonso\",\"doi\":\"10.1109/IWOBI.2014.6913940\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a biometric system to identify people based on the pattern of finger vein. The system uses a database of human index finger images acquired on infrared range. The present proposal has applied Sobel detector, enhancement filter and a binarization process to get the vein pattern. The testing results have reached an equal error rate of 27.56%, and a Genuine Acceptance Rate of 100% for a False Acceptance Rate of 0%.\",\"PeriodicalId\":433659,\"journal\":{\"name\":\"3rd IEEE International Work-Conference on Bioinspired Intelligence\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"3rd IEEE International Work-Conference on Bioinspired Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWOBI.2014.6913940\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"3rd IEEE International Work-Conference on Bioinspired Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWOBI.2014.6913940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 19

摘要

本文提出了一种基于手指静脉形态的人体生物识别系统。该系统使用了一个在红外范围内获取的人类食指图像数据库。本方案采用索贝尔检测器、增强滤波器和二值化处理来获得静脉模式。测试结果错误率为27.56%，真实合格率为100%，错误合格率为0%。

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

Biometric personal identification system based on patterns created by finger veins

This paper proposes a biometric system to identify people based on the pattern of finger vein. The system uses a database of human index finger images acquired on infrared range. The present proposal has applied Sobel detector, enhancement filter and a binarization process to get the vein pattern. The testing results have reached an equal error rate of 27.56%, and a Genuine Acceptance Rate of 100% for a False Acceptance Rate of 0%.

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

3rd IEEE International Work-Conference on Bioinspired Intelligence

自引率

0.00%

发文量