A study of sparse representation-based classification for biometric verification based on both handcrafted and deep learning features

A study of sparse representation-based classification for biometric verification based on both handcrafted and deep learning features

Abstract Biometric verification is generally considered a one-to-one matching task. In contrast, in this paper, we argue that the one-to-many competitive matching via sparse representation-based classification (SRC) can bring enhanced verification security and accuracy. SRC-based verification introd...

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Bibliographic Details
Main Authors: Zengxi Huang, Jie Wang, Xiaoming Wang, Xiaoning Song, Mingjin Chen
Format: Article
Language:English
Published: Springer 2022-09-01
Series:Complex & Intelligent Systems
Subjects:
Biometric verification
Sparse representation
One-to-many matching
Sparsity-based matching measures
Multimodal biometrics
Deep learning
Online Access:https://doi.org/10.1007/s40747-022-00868-6

Internet

https://doi.org/10.1007/s40747-022-00868-6

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