Lewis A. Carney, Josiah Kane, Jonathan F. Mather, Asem A. Othman, A. G. Simpson, Aryana Tavanai, Richard A. Tyson, Yiqun Xue
{"title":"A Multi-Finger Touchless Fingerprinting System: Mobile Fingerphoto and Legacy Database Interoperability","authors":"Lewis A. Carney, Josiah Kane, Jonathan F. Mather, Asem A. Othman, A. G. Simpson, Aryana Tavanai, Richard A. Tyson, Yiqun Xue","doi":"10.1145/3168776.3168800","DOIUrl":null,"url":null,"abstract":"We have developed a Multi-Finger Touchless fingerprinting system that can be deployed on most smartphones, capturing prints with only the rear camera and the LED flash. These prints are interoperable with conventional touch-based print databases. This allows fingerprint identification to be rolled out to the general population as a software only solution. This system features an automatic image capture system where we automatically detect each finger and enhance each finger's corresponding image to resemble a touch-based print. From start to finish the capture time is approximately 6 seconds with a favourable deployment footprint of under 10MB. On an initial test database of 1400 touchless fingerprints and 6600 touch-based fingerprints, we achieved a touchless-touch match rate of 98.6% with a 0.0% false accept rate.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3168776.3168800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
We have developed a Multi-Finger Touchless fingerprinting system that can be deployed on most smartphones, capturing prints with only the rear camera and the LED flash. These prints are interoperable with conventional touch-based print databases. This allows fingerprint identification to be rolled out to the general population as a software only solution. This system features an automatic image capture system where we automatically detect each finger and enhance each finger's corresponding image to resemble a touch-based print. From start to finish the capture time is approximately 6 seconds with a favourable deployment footprint of under 10MB. On an initial test database of 1400 touchless fingerprints and 6600 touch-based fingerprints, we achieved a touchless-touch match rate of 98.6% with a 0.0% false accept rate.