PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters.
Qun LiuEdward CollierSupratik MukhopadhyayPublished in: ICADL (2019)
Keyphrases
- svm classifier
- training set
- character segmentation
- classification algorithm
- classification scheme
- classification process
- classification rate
- support vector machine
- training process
- discriminative learning
- class labels
- classification models
- test set
- classification accuracy
- classification method
- decision trees
- multi layer perceptron
- automatic recognition
- training samples
- feature space
- support vector
- nearest neighbor classifier
- support vector machine svm
- image classification
- character recognition
- feature selection
- learning vector quantization
- label noise
- multiple classifiers
- training data
- discriminative training
- feature set
- bayesian network classifiers
- hand written
- handwritten documents
- discriminative classifiers
- unsupervised learning
- machine learning
- scene images
- robust classification
- handwritten characters
- binary classifiers
- generative model
- chinese characters
- multiple classifier systems
- feature vectors
- supervised learning
- classifier ensemble
- optical character recognition
- printed documents
- learning algorithm
- license plate
- recognition rate
- writer identification