Accumulated-Recognition-Rate Normalization for Combining Multiple On/Off-Line Japanese Character Classifiers Tested on a Large Database.
Ondrej VelekStefan JägerMasaki NakagawaPublished in: Multiple Classifier Systems (2003)
Keyphrases
- recognition rate
- combining multiple
- classification rate
- multiple classifiers
- orl database
- individual classifiers
- combining classifiers
- fusion methods
- recognition accuracy
- handwritten chinese
- face recognition
- handwritten numerals
- higher recognition rate
- cluster ensemble
- character recognition
- chinese characters
- support vector
- multiple features
- classifier combination
- ensemble learning
- pattern recognition
- majority voting
- feature selection
- high recognition rate
- hidden markov models
- multiscale
- rejection rate
- decision trees