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Updated: Feb 14, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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转移基于学习的种族识别,使用通过多种成像传感器捕获的任意图像

Hasti Soudbakhsh1, Sonjoy Ranjon Das2, Bilal Hassan1

  • 1Faculty of Engineering & Environment, Northumbria University London Campus, 110 Middlesex Street, London E1 7HT, UK.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
概括

这项研究使用转移学习和优化的卷积神经网络 (CNN) 模型来增强种族识别. VGG19模型实现了87%的准确性,在各种种族群体中展示了强大的面部识别.

关键词:
在 UTKFace 数据集中,卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.民族认可 民族认可面部图像分类 面部图像分类概括的概括是一般化的.超参数调整 超参数调整图像预处理 图像预处理图像传感器的成像传感器转移学习转移学习

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