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Lightweight iris segmentation model based on multiscale feature and attention mechanism
更新时间:2025-05-26
    • Lightweight iris segmentation model based on multiscale feature and attention mechanism

    • In the field of iris recognition, researchers have proposed a lightweight iris segmentation model that achieves high efficiency and accuracy by improving the network structure and introducing multi-scale feature extraction and channel attention mechanisms.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 9, Pages: 2591-2600(2023)
    • 作者机构:

      1.东北电力大学 计算机学院, 吉林省 吉林市 132012

      2.吉林大学 计算机科学与技术学院, 长春 130012

      3.吉林大学 符号计算与知识工程教育部重点实验室, 长春 130012

      4.南昌大学 软件学院, 南昌 330047

    • DOI:10.13229/j.cnki.jdxbgxb.20220044    

      CLC: TP391.41
    • Received:09 January 2022

      Published:01 September 2023

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  • HUO Guang,LIN Da-wei,LIU Yuan-ning,et al.Lightweight iris segmentation model based on multiscale feature and attention mechanism[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(09):2591-2600. DOI: 10.13229/j.cnki.jdxbgxb.20220044.

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