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Deutsch(DE) FVeinSyn: Synthetic Finger Vein Image Generator

合成指静脉图像生成器FVeinSyn发布

研究人员开发了FVeinSyn,一个用于生成合成指静脉图像的新颖框架,以解决该领域大规模公共数据集稀缺的问题。该系统将血管拓扑结构和成像外观的合成解耦,使用L-系统模拟静脉模式,并使用级联区域感知GAN渲染逼真图像。FVeinSyn可以生成包含50万张图像的大型数据集,与现有方法相比,在真实性和多样性方面有了显著提高。使用FVeinSyn生成的数据训练的模型在八个公共数据集上的平均准确率提高了27.43%。 AI

影响 通过提供大型、多样化的合成数据集,增强了用于指静脉识别的深度学习模型的开发。

排序理由 该集群描述了一个用于特定生物识别模态的新合成数据生成框架,该框架已在arXiv论文中详细介绍。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

合成指静脉图像生成器FVeinSyn发布

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该集群描述了一个用于特定生物识别模态的新合成数据生成框架,该框架已在arXiv论文中详细介绍。[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 Deutsch(DE) · Yifan Wang, Jie Gui, Adams Wai Kin Kong, Baosheng Yu, Changsheng Chen, Qi Li, Zhenan Sun, James Tin-Yau Kwok, Alex Kot ·

    FVeinSyn:合成指静脉图像生成器

    arXiv:2608.27527v1 Announce Type: new Abstract: A major challenge in finger vein recognition is the lack of large-scale public datasets. Existing datasets contain few identities and limited samples per finger, restricting the advancement of deep learning-based methods. To address…