通过手部几何图形对人体进行生物特征验证

Proceedings 39th Annual 2005 International Carnahan Conference on Security Technology Pub Date : 2022-04-16 DOI:10.1109/CCST.2005.1594816

M. Faúndez-Zanuy

{"title":"通过手部几何图形对人体进行生物特征验证","authors":"M. Faúndez-Zanuy","doi":"10.1109/CCST.2005.1594816","DOIUrl":null,"url":null,"abstract":"This paper describes a hand geometry biometric identification system. We have acquired a database of 22 people, 10 acquisitions per person, using a conventional document scanner. We propose a feature extraction and classifier. The experimental results reveal a maximum identification rate equal to 93.64%, and a minimum value of the detection cost function equal to 2.92% using a multi layer perceptron classifier.","PeriodicalId":411051,"journal":{"name":"Proceedings 39th Annual 2005 International Carnahan Conference on Security Technology","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Biometric verification of humans by means of hand geometry\",\"authors\":\"M. Faúndez-Zanuy\",\"doi\":\"10.1109/CCST.2005.1594816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a hand geometry biometric identification system. We have acquired a database of 22 people, 10 acquisitions per person, using a conventional document scanner. We propose a feature extraction and classifier. The experimental results reveal a maximum identification rate equal to 93.64%, and a minimum value of the detection cost function equal to 2.92% using a multi layer perceptron classifier.\",\"PeriodicalId\":411051,\"journal\":{\"name\":\"Proceedings 39th Annual 2005 International Carnahan Conference on Security Technology\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 39th Annual 2005 International Carnahan Conference on Security Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCST.2005.1594816\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 39th Annual 2005 International Carnahan Conference on Security Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCST.2005.1594816","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

本文介绍了一种手部几何形状的生物识别系统。我们已经获得了一个22人的数据库，使用传统的文档扫描仪，每人获得10个。我们提出了一种特征提取和分类器。实验结果表明，多层感知器分类器的最大识别率为93.64%，检测代价函数的最小值为2.92%。

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 verification of humans by means of hand geometry

This paper describes a hand geometry biometric identification system. We have acquired a database of 22 people, 10 acquisitions per person, using a conventional document scanner. We propose a feature extraction and classifier. The experimental results reveal a maximum identification rate equal to 93.64%, and a minimum value of the detection cost function equal to 2.92% using a multi layer perceptron classifier.

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

Proceedings 39th Annual 2005 International Carnahan Conference on Security Technology

自引率

0.00%

发文量