Enhancing the Ensemble-Based Scene Character Recognition by Using Classification Likelihood.
Fuma HorieHideaki GotoTakuo SuganumaPublished in: ACPR (2) (2019)
Keyphrases
- character recognition
- machine vision
- handwritten digits
- features extraction
- classification accuracy
- feature selection
- handwritten characters
- training set
- support vector
- character segmentation
- hand written
- handwritten chinese
- handwriting recognition
- image classification
- multiple classifiers
- class labels
- classification algorithm
- d scene
- ensemble classifier
- feature space
- license plate
- video sequences
- feature vectors
- text classification
- final classification
- training data
- machine learning
- multiple classifier systems
- chinese characters
- optical character recognition
- ensemble methods
- machine learning methods
- classifier ensemble
- document analysis
- maximum likelihood
- support vector machine
- color images
- image analysis