Handwritten alphabets recognition using twelve directional feature extraction and self organizing maps.
Julian SupardiIntan Anindyana HapsariMaheyzah Md SirajPublished in: IC3INA (2014)
Keyphrases
- self organizing maps
- feature extraction
- neural network
- competitive learning
- topology preserving
- input data
- unsupervised learning
- feature vectors
- neural gas
- character recognition
- dimension reduction
- k means
- image processing
- wavelet transform
- som neural network
- pattern classification
- feature space
- face recognition
- principal component analysis
- dimensionality reduction
- frequency domain
- pattern recognition
- feature selection
- object recognition
- decision trees
- extracted features
- data sets
- probabilistic model
- texture features
- computer vision
- data mining
- network anomaly detection