Smart touchless palm sensing via palm adjustment and dynamic registration

Dandan Fan, Xu Liang, Chunsheng Zhang, Junan Chen, Baoyuan Wu, Wei Jia and David Zhang ()
Additional contact information
Dandan Fan: The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)
Xu Liang: Northwestern Polytechnical University
Chunsheng Zhang: The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)
Junan Chen: The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)
Baoyuan Wu: The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)
Wei Jia: Hefei University of Technology
David Zhang: The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)

Nature Communications, 2025, vol. 16, issue 1, 1-12

Abstract: Abstract Touchless palm recognition is increasingly popular for its effectiveness, privacy, and hygiene benefits in biometric systems. However, several challenges remain, including significant performance degradation caused by variations in palm positioning and capture distance. To address these issues, this paper introduces a comprehensive sensing system that integrates dynamic registration with robust palm adjustment. Specifically, we conduct a thorough investigation of distance variations to establish optimal registration settings. In addition, we propose an edge-aware, rotation-invariant region of interest alignment method, which ensures spatial alignment for any given palm across its different samples, even under challenging conditions. By embedding it into a palm registration framework based on video sequences, we improve the system’s ability to adapt to varying conditions automatically. Extensive experiments on various datasets demonstrate that the proposed method significantly enhances the performance of touchless palm recognition systems.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-58213-7 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-58213-7

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-58213-7

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().