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English(EN) OpenVeinNet: Robust Open-Set Finger Vein Verification with Dynamic Snake Convolution and Graph Learning

OpenVeinNet 通过新颖的深度学习技术推进开放集指静脉识别

研究人员推出 OpenVeinNet,一个用于鲁棒开放集指静脉识别的新颖框架。该系统结合了动态蛇形卷积用于提取局部静脉结构,以及基于图的建模来捕捉静脉区域之间的拓扑关系。为了增强其嵌入空间的判别能力,OpenVeinNet 使用了质心角度混合损失函数。跨多个数据集的实验证明了 OpenVeinNet 强大的跨数据集泛化能力和低错误率,表明其在安全生物识别认证方面的有效性。 AI

影响 通过提高指静脉识别系统的准确性和鲁棒性来增强生物识别安全性。

排序理由 该集群描述了一篇研究论文,其中详细介绍了一种用于指静脉识别的新模型和方法。

在 Hugging Face Daily Papers 阅读 →

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OpenVeinNet 通过新颖的深度学习技术推进开放集指静脉识别

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该集群描述了一篇研究论文,其中详细介绍了一种用于指静脉识别的新模型和方法。
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报道来源 [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    OpenVeinNet:基于动态蛇形卷积和图学习的鲁棒开放集指静脉识别

    Finger vein verification is a promising biometric modality for secure authentication because vascular patterns are internal, difficult to observe externally, and relatively resistant to presentation attacks. However, reliable verification remains challenging in open-set settings,…

  2. arXiv cs.CV TIER_1 English(EN) · Sushrut Patwardhan, Raghavendra Ramachandra ·

    OpenVeinNet:基于动态蛇形卷积和图学习的鲁棒开放集指静脉识别

    arXiv:2608.25515v1 Announce Type: new Abstract: Finger vein verification is a promising biometric modality for secure authentication because vascular patterns are internal, difficult to observe externally, and relatively resistant to presentation attacks. However, reliable verifi…