English(EN) Infant Fingerprints: Quality Assessment & Recognition

通过特定年龄校准改进婴儿指纹识别

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

一篇新发表在arXiv上的论文探讨了婴儿指纹识别的挑战和潜在解决方案。研究强调，婴儿特有的生理特征，如不自主运动和不均匀压力，会降低指纹质量，使其无法与成人标准相媲美。为解决此问题，该研究在一个纵向数据集上评估了十种指纹质量评估方法，并提出了一种参数调整程序，以针对婴儿特有特征重新校准这些方法。结果表明，调整后的参数显著提高了识别准确率和图库选择，表明特定领域的重新校准是可靠婴儿指纹识别的关键。 AI

影响这项研究可能导致更可靠的婴儿生物识别系统，影响医疗保健和儿童福利等领域。

排序理由该项目是一篇发表在arXiv上的研究论文，详细介绍了一种针对特定技术问题的新方法。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Jo\~ao L. H. Dall Agnol, Dalcimar Casanova, Rodrigo Minetto, Luiz F. P. Southier, Marcelo Teixeira, Marcelo Filipak, Anil K. Jain · 2026-10-15 04:00

婴儿指纹：质量评估与识别

arXiv:2610.20432v1 Announce Type: new Abstract: Infant fingerprint recognition is hindered by a combination of physiological characteristics, such as small ridge width and spacing, and acquisition challenges that include involuntary motion, skin residue, and uneven fingertip pres…

本文如何被排名

报道来源 [1]

婴儿指纹：质量评估与识别

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