IR and visible light face recognition

This paper presents the results or several large-scale studies or race recognition employing visible-light and infrared (IR) imagery in the context of principal component analysis. We find that in a scenario involving time lapse between gallery and probe. and relatively controlled lighting, (1) PCA-based recognition using visible-light images Outperforms PCA-based recognition using infrared images, (2) the combination of PCA-based recognition using Visible-light and infrared imagery substantially outperforms either one individually. I it it same-session scenario (i.e., near-simultaneous acquisition of gallery and probe images) neither modality is significantly better than the other. These experimental results reinrorce prior research that employed a smaller data set, presenting it convincing argument that. even across it broad experimental spectrum, the behaviors enumerated above are valid and consistent, (c) 2005 Elsevier Inc. All rights reserved.