Face Recognition under Varying Illumination Conditions: Improving the Recognition Accuracy for Local Ternary Patterns based on Illumination Normalization Methods and Singular Value Decomposition.
Chi-Kien TranChin-Dar TsengChin-Shiuh ShiehTsair-Fwu LeePublished in: J. Inf. Hiding Multim. Signal Process. (2017)
Keyphrases
- recognition accuracy
- face recognition
- singular value decomposition
- illumination normalization
- recognition rate
- face images
- robust face recognition
- least squares
- principal component analysis
- singular values
- face databases
- range images
- face recognition algorithms
- dimension reduction
- discriminant analysis
- data sets
- facial expressions
- pattern recognition
- feature selection