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

OpenVeinNet 通过新颖的卷积和图学习推进指静脉验证

研究人员开发了 OpenVeinNet,一个用于鲁棒指静脉验证的新颖框架,在必须拒绝未知身份的开放集场景中尤其有效。该系统集成了动态蛇形卷积以提取详细的静脉结构,并结合基于图的建模来捕获静脉区域之间的拓扑关系。新的质心角混合损失函数通过提高嵌入空间的判别质量,进一步增强了性能,从而实现了强大的跨数据集泛化能力和具有竞争力的准确性。 AI

影响 这项研究通过提高指静脉验证系统的准确性和鲁棒性,特别是在具有挑战性的开放集场景中,从而推进了生物识别安全。

排序理由 该集群包含一篇详细介绍一种新的生物识别验证方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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OpenVeinNet 通过新颖的卷积和图学习推进指静脉验证

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该集群包含一篇详细介绍一种新的生物识别验证方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. 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…