Robert K. Rowe, U. Uludag, Meltem Demirkus, Sujan T. V. Parthasaradhi, Anil K. Jain
{"title":"A Multispectral Whole-Hand Biometric Authentication System","authors":"Robert K. Rowe, U. Uludag, Meltem Demirkus, Sujan T. V. Parthasaradhi, Anil K. Jain","doi":"10.1109/bcc.2007.4430532","DOIUrl":null,"url":null,"abstract":"We describe the design and development of a prototype whole-hand imaging system. The sensor is based on multispectral technology that is able to provide hand shape, fingerprints and palmprint modalities of a user's hand by a single user interaction with the sensor. A clear advantage of our system over other unimodal sensors for these modalities include: (i) faster acquisition time, (ii) better quality images, and (iii) ability to provide spoof detection. Initial results on a medium-size database show good recognition performance based on individual modalities as well as after fusing multiple fingers and fusing finger and palm. The prototype is being refined in order to improve performance even further.","PeriodicalId":389417,"journal":{"name":"2007 Biometrics Symposium","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"129","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Biometrics Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/bcc.2007.4430532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 129
Abstract
We describe the design and development of a prototype whole-hand imaging system. The sensor is based on multispectral technology that is able to provide hand shape, fingerprints and palmprint modalities of a user's hand by a single user interaction with the sensor. A clear advantage of our system over other unimodal sensors for these modalities include: (i) faster acquisition time, (ii) better quality images, and (iii) ability to provide spoof detection. Initial results on a medium-size database show good recognition performance based on individual modalities as well as after fusing multiple fingers and fusing finger and palm. The prototype is being refined in order to improve performance even further.