Combining neural gas and learning vector quantization for cursive character recognition.
Francesco CamastraAlessandro VinciarelliPublished in: Neurocomputing (2003)
Keyphrases
- character recognition
- learning vector quantization
- neural gas
- self organizing maps
- machine vision
- neural network
- handwritten characters
- handwriting recognition
- word recognition
- optical character recognition
- competitive learning
- vector quantization
- chinese characters
- hand written
- color quantization
- input data
- document analysis
- k means
- character segmentation
- unsupervised learning
- data sets
- printed characters
- vector quantizer
- pattern recognition
- shape features
- multiscale
- learning algorithm
- fuzzy c means
- handwritten documents
- cluster analysis
- pairwise
- text classification
- dimensionality reduction