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IoT as a Service. 9th EAI International Conference, IoTaaS 2023, Nanjing, China, October 27-29, 2023, Proceedings

Research Article

Research on the Lip-Print Recognition Based on Multi-scale Feature

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-70507-6_2,
        author={Hongcheng Zhou},
        title={Research on the Lip-Print Recognition Based on Multi-scale Feature},
        proceedings={IoT as a Service. 9th EAI International Conference, IoTaaS 2023, Nanjing, China, October 27-29, 2023, Proceedings},
        proceedings_a={IOTAAS},
        year={2024},
        month={10},
        keywords={Lip-print recognition Deep learning Multi-scale feature fusion Attention mechanism},
        doi={10.1007/978-3-031-70507-6_2}
    }
    
  • Hongcheng Zhou
    Year: 2024
    Research on the Lip-Print Recognition Based on Multi-scale Feature
    IOTAAS
    Springer
    DOI: 10.1007/978-3-031-70507-6_2
Hongcheng Zhou1,*
  • 1: School of Electronic and Information Engineering
*Contact email: 945516882@qq.com

Abstract

To address the problems of difficult feature extraction, small differences between texture information and recognition accuracy to be improved in lip-print recognition tasks, a lip-print recognition algorithm based on grouped multi-scale feature fusion is proposed. The ablation experimental results show that the improved recognition model achieves 98.56% recognition accuracy on the test set, and the model has strong generalization ability and feature refinement expression ability, which can provide support for the application of lip-print recognition technology in the field of identity verification.

Keywords
Lip-print recognition Deep learning Multi-scale feature fusion Attention mechanism
Published
2024-10-29
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-70507-6_2
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