Fig 1.
Architecture of proposed methodology for face recognition using FSR and SSR.
Fig 2.
Illustration of visual and IR imagery, SCface database (The individual in this manuscript has given written informed consent for publication).
Table 1.
Key characteristics of probe face images subsets of SCface database.
Fig 3.
Illustration of preprocessed visual and IR images, SCface database (The individual in this manuscript has given written informed consent for publication).
Table 2.
Detail of image collection in CASIA NIR-VIS 2.0 database.
Fig 4.
Visual vs. Visual Recognition (a) Accuracies of proposed and existing methods, (b) experiments for FSR Method of different image sizes, and (c) experiments for SSR Method of different image sizes.
Table 3.
Recognition accuracies of proposed and existing methods for visual vs. visual.
Table 4.
Recognition accuracies for FSR and SSR Method of different image sizes (visual vs. visual).
Table 5.
Quantitative evaluation metrics of proposed methods (visual vs. visual).
Fig 5.
IR vs IR Recognition (a) Accuracies of proposed and existing methods, (b) experiments for FSR Method of different image sizes, and (c) experiments for SSR Method of different image sizes.
Table 6.
Recognition accuracies of proposed and existing methods for IR vs. IR.
Table 7.
Recognition accuracies for FSR and SSR Method of different image sizes (IR vs. IR).
Table 8.
Quantitative evaluation metrics of proposed methods (IR vs. IR).
Fig 6.
Visual vs. IR recognition (a) Accuracies of proposed and existing methods, (b) experiments for FSR Method of different image sizes, and (c) experiments for SSR Method of different image sizes.
Table 9.
Recognition accuracies of proposed and existing methods for visual vs. IR.
Table 10.
Recognition experiments for FSR and SSR method of different image sizes (visual vs. IR).
Table 11.
Quantitative evaluation metrics of proposed methods (visual vs. IR).
Fig 7.
Recognition accuracies of proposed and existing methods for CASIA NIR-VIS 2.0.