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基于U-Net的指纹增强功能用于3D指纹识别

Mohammad Mogharen Askarin1, Min Wang1,2, Xuefei Yin3

  • 1School of Systems and Computing, University of New South Wales, Canberra, ACT 2612, Australia.

Sensors (Basel, Switzerland)
|March 17, 2025
PubMed
概括

这项研究通过使用深度学习U-Net来增强3D指纹识别,以改善对比度. 这种先进的生物识别身份验证方法显著降低了同等错误率 (EER),使其更安全和可靠.

关键词:
在3D中,它是3D.生物识别信息 生物识别信息深度学习是一种深度学习.指纹指纹指纹指纹指纹指纹

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相关概念视频

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...