Comparing Feature Extraction Techniques and Classifiers in the Handwritten Letters Classification Problem.
Antonio García-MansoCarlos J. García OrellanaHoracio M. González VelascoMiguel Macías MacíasRamón Gallardo CaballeroPublished in: ICANN (3) (2010)
Keyphrases
- feature extraction
- extracted features
- feature set
- feature selection
- decision trees
- classification systems
- support vector machine svm
- image classification
- pattern classification
- decision boundary
- svm classifier
- feature vectors
- classification method
- classification algorithm
- training set
- feature space
- classification models
- pattern recognition
- classification accuracy
- classification rate
- classifier combination
- supervised classification
- higher classification accuracy
- classification process
- classification procedure
- multiple classifiers
- training samples
- binary classifiers
- support vector
- naive bayes
- accurate classification
- k nearest neighbour
- class labels
- machine learning algorithms
- training data
- image processing
- preprocessing
- feature extraction and classification
- dimensionality reduction
- probabilistic classifiers
- classification decisions
- dimension reduction
- machine learning methods
- improves the classification accuracy
- support vector machine
- roc curve
- multiclass classification
- neural classifier
- feature extractors
- knn
- majority voting
- optimum path forest
- knn classifier
- rule based classifier
- combining classifiers
- feature reduction
- multiple classifier systems
- nearest neighbor classifier
- feature representation
- gabor filters
- k nearest neighbor
- text classification
- supervised learning
- face recognition