Developing a gender classification approach in human face images using modified local binary patterns and tani-moto based nearest neighbor algorithm.
Shervan Fekri ErshadPublished in: CoRR (2020)
Keyphrases
- face recognition
- local binary pattern
- gender classification
- face images
- face databases
- facial images
- gender recognition
- facial expression recognition
- human faces
- face detection
- facial expressions
- feature extraction
- recognition rate
- face representation
- facial features
- principal component analysis
- low resolution
- rotation invariant
- sparse representation
- recognition accuracy
- nearest neighbor
- active appearance models
- pose variations
- feature selection
- feature points
- video sequences
- computer vision
- texture analysis
- texture features
- detection algorithm
- training samples
- feature vectors
- high dimensional
- pattern recognition
- similarity measure