An approach for iris contact lens detection and classification using ensemble of customized DenseNet and SVM.
Meenakshi ChoudharyVivek TiwariVenkanna U.Published in: Future Gener. Comput. Syst. (2019)
Keyphrases
- support vector machine svm
- support vector
- feature selection
- classification algorithm
- support vector machine
- svm classifier
- training set
- classification method
- svm classification
- ensemble classifier
- feature vectors
- classification accuracy
- machine learning
- imbalanced data
- classifier ensemble
- high classification accuracy
- decision trees
- feature ranking
- ensemble learning
- training data
- machine learning algorithms
- pattern recognition
- final classification
- image classification
- feature extraction
- majority voting
- cost sensitive
- generalization ability
- improves the classification accuracy
- binary classification problems
- feature space
- multi class classification
- linear svm
- unbalanced data
- neural network
- decision boundary
- discriminative classifiers
- decision tree classifiers
- regression problems
- logistic regression
- class labels
- fold cross validation
- learning algorithm
- support vectors
- iris recognition
- class imbalance
- cross validation
- training samples
- multi class svm
- model selection
- object detection