Nurhafizah Mahri, Shahrel Azmin Sundi Suandi, B. A. Rosdi
{"title":"Finger Vein Recognition Algorithm Using Phase Only Correlation","authors":"Nurhafizah Mahri, Shahrel Azmin Sundi Suandi, B. A. Rosdi","doi":"10.1109/ETCHB.2010.5559283","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an algorithm for finger vein recognition with less complexity in the image preprocessing phase, where finger vein pattern extraction is not included at all. In the proposed algorithm, we implement phase-only correlation (POC) function at the matching stage with a very simple preprocessing technique. Experimental evaluation of the proposed algorithm using a set of finger vein images captured from a low cost device have resulting an efficient recognition performance where the equal error rate (EER) was 0.9803% with a total processing time of 0.6362s.","PeriodicalId":174704,"journal":{"name":"2010 International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"56","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETCHB.2010.5559283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 56
Abstract
In this paper, we propose an algorithm for finger vein recognition with less complexity in the image preprocessing phase, where finger vein pattern extraction is not included at all. In the proposed algorithm, we implement phase-only correlation (POC) function at the matching stage with a very simple preprocessing technique. Experimental evaluation of the proposed algorithm using a set of finger vein images captured from a low cost device have resulting an efficient recognition performance where the equal error rate (EER) was 0.9803% with a total processing time of 0.6362s.