research-article

Multimodal Biometrics System Using Feature-Level Fusion of Iris and Fingerprint

Authors:

Yik-Herng Khoo,

Tong-Yuen Chai,

Zhe JinAuthors Info & Claims

ICAIP '18: Proceedings of the 2nd International Conference on Advances in Image Processing

Pages 6 - 10

https://doi.org/10.1145/3239576.3239599

Published: 16 June 2018 Publication History

Abstract

Biometrics system had been widely implemented in our daily life applications. With continuous improvement in biometrics recognition performance, biometrics security hence becomes an important topic of research as biometric template protection scheme serves as a vital part of a complete biometrics system. Besides, multimodal biometrics system is introduced to improve the recognition performance, system complexity, security and applicability of nowadays biometrics applications.

In this paper, we present a new approach of feature-level fusion multimodal biometrics system using indexing-first-one (IFO) hashing and integer value mapping strategy. Indexing-first-one hashing has proven survived from several major privacy attacks such as single-hash attack (SHA), attack via record multiplicity (ARM) etc. On top of that, a weighted feature level fusion approach is proposed where multiple biometrics are given different weights based on the individual recognition result which then each biometrics will contributes to the final matching result based on their respective weights. The experiment is conducted and result is validated using a multimodal fingerprint and iris database.

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Cited By

Sasikala T(2024)A secure multi-modal biometrics using deep ConvGRU neural networks based hashingExpert Systems with Applications10.1016/j.eswa.2023.121096235(121096)Online publication date: Jan-2024
https://doi.org/10.1016/j.eswa.2023.121096
Vallabhadas DSandhya MReddy SSatwika DPrashanth G(2024)Biometric template protection based on a cancelable convolutional neural network over iris and fingerprintBiomedical Signal Processing and Control10.1016/j.bspc.2024.10600691(106006)Online publication date: May-2024
https://doi.org/10.1016/j.bspc.2024.106006
Rukhiran MPukdesree SNetinant P(2022)Biometric Cloud Services for Web-Based ExaminationsInternational Journal of Information Technology and Web Engineering10.4018/IJITWE.29902217:1(1-25)Online publication date: 1-Jan-2022
https://doi.org/10.4018/IJITWE.299022
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Index Terms

Multimodal Biometrics System Using Feature-Level Fusion of Iris and Fingerprint
1. Theory of computation
  1. Models of computation
    1. Probabilistic computation

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cover image ACM Other conferences

ICAIP '18: Proceedings of the 2nd International Conference on Advances in Image Processing

June 2018

261 pages

ISBN:9781450364607

DOI:10.1145/3239576

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Electronic Science and Technology of China: University of Electronic Science and Technology of China
Southwest Jiaotong University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 June 2018

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Fundamental Research Grant Scheme

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ICAIP '18

ICAIP '18: 2018 the 2nd International Conference on Advances in Image Processing

June 16 - 18, 2018

Chengdu, China

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Cited By

Sasikala T(2024)A secure multi-modal biometrics using deep ConvGRU neural networks based hashingExpert Systems with Applications10.1016/j.eswa.2023.121096235(121096)Online publication date: Jan-2024
https://doi.org/10.1016/j.eswa.2023.121096
Vallabhadas DSandhya MReddy SSatwika DPrashanth G(2024)Biometric template protection based on a cancelable convolutional neural network over iris and fingerprintBiomedical Signal Processing and Control10.1016/j.bspc.2024.10600691(106006)Online publication date: May-2024
https://doi.org/10.1016/j.bspc.2024.106006
Rukhiran MPukdesree SNetinant P(2022)Biometric Cloud Services for Web-Based ExaminationsInternational Journal of Information Technology and Web Engineering10.4018/IJITWE.29902217:1(1-25)Online publication date: 1-Jan-2022
https://doi.org/10.4018/IJITWE.299022
Chang ZZhang XZhang J(2022)PCA Based Cancelable Biometric Protection Using Feature-Level Fusion of Iris and Fingerprint2022 4th International Conference on Natural Language Processing (ICNLP)10.1109/ICNLP55136.2022.00021(74-80)Online publication date: Mar-2022
https://doi.org/10.1109/ICNLP55136.2022.00021
Goh ZWang YLeng LLiang SJin ZLai YWang X(2022)A Framework for Multimodal Biometric Authentication Systems With Template ProtectionIEEE Access10.1109/ACCESS.2022.320541310(96388-96402)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3205413
Diarra MJean ABakary BMedard K(2021)Study of Deep Learning Methods f or Fingerprint RecognitionInternational Journal of Recent Technology and Engineering (IJRTE)10.35940/ijrte.C6478.091032110:3(192-197)Online publication date: 30-Sep-2021
https://doi.org/10.35940/ijrte.C6478.0910321
Khan AChefranov ADemirel H(2020)Texture Gradient and Deep Features Fusion-Based Image Scene Geometry Recognition System Using Extreme Learning Machine2020 3rd International Conference on Intelligent Robotic and Control Engineering (IRCE)10.1109/IRCE50905.2020.9199253(37-41)Online publication date: Aug-2020
https://doi.org/10.1109/IRCE50905.2020.9199253
Abomhara MYayilgan SShalaginova MSzékely Z(2020)Border Control and Use of Biometrics: Reasons Why the Right to Privacy Can Not Be AbsolutePrivacy and Identity Management. Data for Better Living: AI and Privacy10.1007/978-3-030-42504-3_17(259-271)Online publication date: 6-Mar-2020
https://doi.org/10.1007/978-3-030-42504-3_17
Sanjekar PPatil J(2019)Multimodal Biometrics Using Fingerprint, Palmprint, and Iris With a Combined Fusion ApproachInternational Journal of Computer Vision and Image Processing10.4018/IJCVIP.20191001019:4(1-14)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.4018/IJCVIP.2019100101
Khan ASingh MJalal AManke R(2019)A Visual Saliency Detection Approach by Fusing Low-Level Priors With High-Level PriorsInternational Journal of Computer Vision and Image Processing10.4018/IJCVIP.20190701029:3(23-37)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.4018/IJCVIP.2019070102
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