Ester González, A. Morales, Miguel A. Ferrer, C. Travieso
{"title":"Looking for Hand Biometrics Interoperability","authors":"Ester González, A. Morales, Miguel A. Ferrer, C. Travieso","doi":"10.1109/ICHB.2011.6094313","DOIUrl":null,"url":null,"abstract":"Identification of people through hand based biometrics has been extensively researched by different scientific groups due to its simplicity, reliability, and acceptability. In fact, a great amount of proposal based on different procedures and acquisition devices has been published in the literature. However, the interoperability among them has been barely studied. This paper tries to fill this gap by proposing procedures to improve the interoperability among different hand biometric systems. The experiments has been conducted on a database composed by 5400 hand images acquired with 6 different hand-shape biometric approaches including flat scanner, webcams at different wavelengths, high quality cameras, and contactless devices including acquisitions on both sides of the hand. Our results suggest we are in the way to reach acceptable results of interoperability","PeriodicalId":378764,"journal":{"name":"2011 International Conference on Hand-Based Biometrics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Hand-Based Biometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHB.2011.6094313","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Identification of people through hand based biometrics has been extensively researched by different scientific groups due to its simplicity, reliability, and acceptability. In fact, a great amount of proposal based on different procedures and acquisition devices has been published in the literature. However, the interoperability among them has been barely studied. This paper tries to fill this gap by proposing procedures to improve the interoperability among different hand biometric systems. The experiments has been conducted on a database composed by 5400 hand images acquired with 6 different hand-shape biometric approaches including flat scanner, webcams at different wavelengths, high quality cameras, and contactless devices including acquisitions on both sides of the hand. Our results suggest we are in the way to reach acceptable results of interoperability
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