Smart touchless palm sensing via palm adjustment and dynamic registration
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 iss...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-58213-7 |
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| _version_ | 1850063766833594368 |
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| author | Dandan Fan Xu Liang Chunsheng Zhang Junan Chen Baoyuan Wu Wei Jia David Zhang |
| author_facet | Dandan Fan Xu Liang Chunsheng Zhang Junan Chen Baoyuan Wu Wei Jia David Zhang |
| author_sort | Dandan Fan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e952b754e9544a1981b7c6fd241fc3ff |
| institution | DOAJ |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-e952b754e9544a1981b7c6fd241fc3ff2025-08-20T02:49:30ZengNature PortfolioNature Communications2041-17232025-03-0116111210.1038/s41467-025-58213-7Smart touchless palm sensing via palm adjustment and dynamic registrationDandan Fan0Xu Liang1Chunsheng Zhang2Junan Chen3Baoyuan Wu4Wei Jia5David Zhang6School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)School of Software, Northwestern Polytechnical UniversitySchool of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)School of Computer Science and Information Engineering, Hefei University of TechnologySchool of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)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.https://doi.org/10.1038/s41467-025-58213-7 |
| spellingShingle | Dandan Fan Xu Liang Chunsheng Zhang Junan Chen Baoyuan Wu Wei Jia David Zhang Smart touchless palm sensing via palm adjustment and dynamic registration Nature Communications |
| title | Smart touchless palm sensing via palm adjustment and dynamic registration |
| title_full | Smart touchless palm sensing via palm adjustment and dynamic registration |
| title_fullStr | Smart touchless palm sensing via palm adjustment and dynamic registration |
| title_full_unstemmed | Smart touchless palm sensing via palm adjustment and dynamic registration |
| title_short | Smart touchless palm sensing via palm adjustment and dynamic registration |
| title_sort | smart touchless palm sensing via palm adjustment and dynamic registration |
| url | https://doi.org/10.1038/s41467-025-58213-7 |
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