A Comparative Study of Suitability of Certain Features in Classification of Bharatanatyam Mudra Images Using Artificial Neural Network.
Basavaraj S. AnamiVenkatesh A. BhandagePublished in: Neural Process. Lett. (2019)
Keyphrases
- using artificial neural networks
- extracting features
- extracted features
- correct classification rate
- image features
- image classification
- classification accuracy
- feature vectors
- feature extraction
- original images
- discriminative features
- feature representation
- class specific
- feature set
- input image
- visual object recognition
- multiple classifiers
- individual features
- handwritten digits
- image database
- classification process
- skin lesion
- test images
- feature space
- image data
- class labels
- edge detection
- classification models
- classification method
- image retrieval
- support vector machine svm
- highly discriminative
- keypoints
- textural features
- object recognition
- feature points
- feature descriptors
- gabor filters
- fisher linear discriminant
- image matching
- image regions
- svm classifier
- grey level co occurrence matrix
- support vector
- text classification
- image analysis
- discriminative classifiers
- color features
- fingerprint images
- image set
- thematic mapper