Improving biometric recognition by means of score ratio, the likelihood ratio for non‐probabilistic classifiers. A benchmarking study-Reference-Cited by-同舟云学术

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Improving biometric recognition by means of score ratio, the likelihood ratio for non‐probabilistic classifiers. A benchmarking study

Published:2021-01-29 Issue:2 Volume:10 Page:127-141
ISSN:2047-4938
Container-title:IET Biometrics
language:en
Short-container-title:IET biom.

Author:

Vivaracho‐Pascual Carlos¹^ORCID,Simon‐Hurtado Arancha¹,Manso‐Martinez Esperanza¹

Affiliation:

1. Computer Science Department University of Valladolid Valladolid Spain

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/bme2.12011

Reference21 articles.

1. Vocabulary harmonisation for biometrics: the development of ISO/IEC 2382 Part 37

2. Likelihood normalization for speaker verification using a phoneme- and speaker-independent model

3. Online Signature Verification Based on Generative Models

4. A supervised method to discriminate between impostors and genuine in biometry

5. Using the score ratio with distance-based classifiers: A theoretical and practical study in biometric signature recognition

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1. ECG-based authentication systems: a comprehensive and systematic review;Multimedia Tools and Applications;2023-08-23

2. An Effective System for Biometric Gait Authentication by Means of Smartwatches;2023

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