Original paper

Ensemble of Deep Convolutional Neural Networks With Gabor Face Representations for Face Recognition

Volume: 29, Pages: 3270 - 3281
Published: Jan 1, 2020
Abstract
Most DCNN-based FR approaches typically employ grayscale or RGB color images as input representations of DCNN architectures. However, other effective face representation methods have been developed and incorporated into current practical FR systems. In light of this fact, the focus of our study is to employ Gabor face representations in the design of DCNN-based FR frameworks to improve FR performance. To this end, we develop a novel “Gabor DCNN...
Paper Details
Title
Ensemble of Deep Convolutional Neural Networks With Gabor Face Representations for Face Recognition
Published Date
Jan 1, 2020
Volume
29
Pages
3270 - 3281
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.