Performance and security‐enhanced fuzzy vault scheme based on ridge features for distorted fingerprints-Reference-Cited by-同舟云学术

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Performance and security‐enhanced fuzzy vault scheme based on ridge features for distorted fingerprints

Published:2015-03 Issue:1 Volume:4 Page:29-39
ISSN:2047-4938
Container-title:IET Biometrics
language:en
Short-container-title:IET biom.

Author:

Nguyen Thi Hanh¹,Wang Yi²,Ha Yajun²,Li Renfa³

Affiliation:

1. Faculty of Information TechnologyIndustry University of Ho Chi Minh CityHo Chi MinhVietnam

2. I²R‐BYD Joint Lab, Institute for Infocomm, A*STARSingaporeSingapore

3. School of Information Science and EngineeringHunan UniversityChangshaPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-bmt.2014.0026

Reference32 articles.

1. Biometric template security;Jain A.K.;EURASIP J. Adv. Signal Process.,2008

2. Juels A. Wattenberg M.: ‘A fuzzy commitment scheme’.Proc. Conf. on Computer and Communications Security the Sixth ACM 1999

3. Juels A. Sudan M.: ‘A fuzzy vault scheme’.Proc. Int. Symp. on Information Theory 2002 IEEE 2002

4. Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data

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