A Score Level Fusion Method on Fingerprint and Finger Vein

In this paper, we represent a score level fusion method on fingerprint and finger vein. Each unimodal identification system carries out processes of image preprocessing, feature extraction and feature matching to generate a vector of score. And we apply clustering analysis to split the score range i...

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Main Authors: Peng Jian, Wu Jingyi, Chen Yun
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/45/e3sconf_iceeb2020_03035.pdf
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author Peng Jian
Wu Jingyi
Chen Yun
author_facet Peng Jian
Wu Jingyi
Chen Yun
author_sort Peng Jian
collection DOAJ
description In this paper, we represent a score level fusion method on fingerprint and finger vein. Each unimodal identification system carries out processes of image preprocessing, feature extraction and feature matching to generate a vector of score. And we apply clustering analysis to split the score range into zones of interest. Then a decision tree and weighted-sum approach are used to make the decision. We test the proposed method on standard biometric database. Three metrics, namely, False Accept Rate, False Reject Rate, Recognition Rate, are used to evaluate experimental results. And experimental results show that the fusion system has a better performance than unimodal identification system.
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spelling doaj.art-42aef070a2fa4809b6c8fc851643a6db2022-12-21T19:58:57ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011850303510.1051/e3sconf/202018503035e3sconf_iceeb2020_03035A Score Level Fusion Method on Fingerprint and Finger VeinPeng Jian0Wu Jingyi1Chen Yun2Nanjing University of Posts and Telecommunications, College of Overseas EducationNanjing University of Posts and Telecommunications, Science CollegeNanjing University of Posts and Telecommunications, Science CollegeIn this paper, we represent a score level fusion method on fingerprint and finger vein. Each unimodal identification system carries out processes of image preprocessing, feature extraction and feature matching to generate a vector of score. And we apply clustering analysis to split the score range into zones of interest. Then a decision tree and weighted-sum approach are used to make the decision. We test the proposed method on standard biometric database. Three metrics, namely, False Accept Rate, False Reject Rate, Recognition Rate, are used to evaluate experimental results. And experimental results show that the fusion system has a better performance than unimodal identification system.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/45/e3sconf_iceeb2020_03035.pdf
spellingShingle Peng Jian
Wu Jingyi
Chen Yun
A Score Level Fusion Method on Fingerprint and Finger Vein
E3S Web of Conferences
title A Score Level Fusion Method on Fingerprint and Finger Vein
title_full A Score Level Fusion Method on Fingerprint and Finger Vein
title_fullStr A Score Level Fusion Method on Fingerprint and Finger Vein
title_full_unstemmed A Score Level Fusion Method on Fingerprint and Finger Vein
title_short A Score Level Fusion Method on Fingerprint and Finger Vein
title_sort score level fusion method on fingerprint and finger vein
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/45/e3sconf_iceeb2020_03035.pdf
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AT wujingyi ascorelevelfusionmethodonfingerprintandfingervein
AT chenyun ascorelevelfusionmethodonfingerprintandfingervein
AT pengjian scorelevelfusionmethodonfingerprintandfingervein
AT wujingyi scorelevelfusionmethodonfingerprintandfingervein
AT chenyun scorelevelfusionmethodonfingerprintandfingervein