Approximative Bayes optimality linear discriminant analysis for Chinese handwriting character recognition.
Chao YaoGong ChengPublished in: Neurocomputing (2016)
Keyphrases
- character recognition
- linear discriminant analysis
- support vector
- discriminant analysis
- dimensionality reduction
- face recognition
- machine vision
- principal component analysis
- small sample size
- dimension reduction
- discriminant features
- hand written
- feature space
- high dimensional data
- null space
- feature extraction
- optical character recognition
- support vector machine svm
- fisher criterion
- handwritten characters
- decision trees
- printed characters
- handwritten chinese
- discriminative information
- scatter matrices
- support vector machine
- real time
- license plate
- chinese characters
- class separability
- linear discriminant
- pattern recognition
- scatter matrix
- data mining
- logistic regression
- nearest neighbor