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Single-Sample Finger Vein Recognition via Competitive and Progressive Sparse Representation

Zhao, Pengyang; Chen, Zhiquan; Xue, Jing-Hao; Feng, Jianjiang; Yang, Wenming; Liao, Qingmin; Zhou, Jie; (2022) Single-Sample Finger Vein Recognition via Competitive and Progressive Sparse Representation. IEEE Transactions on Biometrics, Behavior, and Identity Science 10.1109/tbiom.2022.3226270. (In press). Green open access

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Abstract

As an emerging biometric technology, finger vein recognition has attracted much attention in recent years. However, single-sample recognition is a practical and longstanding challenge in this field, referring to only one finger vein image per class in the training set. In single-sample finger vein recognition, the illumination variations under low contrast and the lack of information of intra-class variations severely affect the recognition performance. Despite of its high robustness against noise and illumination variations, sparse representation has rarely been explored for single-sample finger vein recognition. Therefore, in this paper, we focus on developing a new approach called Progressive Sparse Representation Classification (PSRC) to address the challenging issue of single-sample finger vein recognition. Firstly, as residual may become too large under the scenario of single-sample finger vein recognition, we propose a progressive strategy for representation refinement of SRC. Secondly, to adaptively optimize progressions, a progressive index called Max Energy Residual Index (MERI) is defined as the guidance. Furthermore, we extend PSRC to bimodal biometrics and propose a Competitive PSRC (C-PSRC) fusion approach. The C-PSRC creates more discriminative fused sample and fusion dictionary by comparing residual errors of different modalities. By comparing with several state-of-the-art methods on three finger vein benchmarks, the superiority of the proposed PSRC and C-PSRC is clearly demonstrated.

Type: Article
Title: Single-Sample Finger Vein Recognition via Competitive and Progressive Sparse Representation
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/tbiom.2022.3226270
Publisher version: https://doi.org/10.1109/tbiom.2022.3226270
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Veins, Fingers, Training, Dictionaries, Biometrics (access control), Lighting, Indexes
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10161895
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