A facial recognition system extracts Gabor features using an SVM classifier to identify disguised faces.
A photo shooting unit captures images at different focal lengths to determine object dimensions through resolution comparison.
A verification module maps image frames to hue-saturation color space and generates distribution histograms for analysis.
Transformed landmark locations combined with noise models generate synthetic training data that reduces false rejections of genuine documents.
Segmented scenario classification and local quality adaptation improve measurement precision in living body detection despite poor photography effects.
A system projects illumination through a display to extract reflection patterns for device identity determination.
A face database search system extracts feature vectors from query images to identify candidate identities.
A polarized infrared face detection system captures parallel and orthogonal images to extract specular texture characteristics for verification.
A tamper detection system calculates edge weights and intensity changes to identify unauthorized camera adjustments.
A live facial recognition system projects structured light patterns onto subjects to capture reflected distortions for accurate liveness detection.