The fall of one, the rise of many: a survey on multi-biometric fusion methods

LM Dinca, GP Hancke - IEEE Access, 2017 - ieeexplore.ieee.org
Increasing operational and security demands changed biometrics by shifting the focus from
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …

[BOOK][B] Encyclopedia of image processing

PA Laplante - 2018 - books.google.com
The Encyclopedia of Image Processing presents a vast collection of well-written articles
covering image processing fundamentals (eg color theory, fuzzy sets, cryptography) and …

Binary feature fusion for discriminative and secure multi-biometric cryptosystems

G Mai, MH Lim, PC Yuen - Image and Vision Computing, 2017 - Elsevier
Biometric cryptosystem has been proven to be a promising approach for template protection.
Cryptosystems such as fuzzy extractor and fuzzy commitment require discriminative and …

Bin-based classifier fusion of iris and face biometrics

D Miao, M Zhang, Z Sun, T Tan, Z He - Neurocomputing, 2017 - Elsevier
Accuracy and usability are the two most important issues for a multibiometric system. Most of
multibiometric systems are based on matching scores or features of multiple biometric traits …

[HTML][HTML] Cancelable indexing based on low-rank approximation of correlation-invariant random filtering for fast and secure biometric identification

T Murakami, T Ohki, Y Kaga, M Fujio… - Pattern Recognition …, 2019 - Elsevier
A cancelable biometric scheme called correlation-invariant random filtering (CIRF) is known
as a promising template protection scheme. This scheme transforms a biometric feature …

User-centric key entropy: Study of biometric key derivation subject to spoofing attacks

LM Dinca, G Hancke - Entropy, 2017 - mdpi.com
Biometric data can be used as input for PKI key pair generation. The concept of not saving
the private key is very appealing, but the implementation of such a system shouldn't be …

Learning discriminability-preserving histogram representation from unordered features for multibiometric feature-fused-template protection

MH Lim, S Verma, G Mai, PC Yuen - Pattern Recognition, 2016 - Elsevier
Multi-biometric feature-level fusion exploits feature information from more than one biometric
source to improve recognition performance and template security. When ordered and …

Enhancement of feature extraction in image quality

S Patil, SR Patil - 2019 Third International conference on I …, 2019 - ieeexplore.ieee.org
Face and fingerprint are biometric features that are fully explored, promising accurate
gratitude in a range of applications. Commercial products are becoming increasingly …

[PDF][PDF] Biometric system security and privacy: data reconstruction and template protection

G Mai - 2018 - scholars.hkbu.edu.hk
Biometric systems are seeing increasing use, from daily entertainment to critical applications
such as security access and identity management. Biometric systems should thus meet the …