Recognition of hand-printed latin characters based on a structural approach with a neural network classifier.
Adnan AminSankaran IyerWilliam H. WilsonPublished in: J. Electronic Imaging (1997)
Keyphrases
- optical character recognition
- neural network
- character segmentation
- character recognition
- handwritten characters
- fuzzy artmap
- printed documents
- printed characters
- learning vector quantization
- handwriting recognition
- license plate
- word spotting
- hand gestures
- pattern recognition
- feature extractor
- object recognition
- backpropagation neural network
- multi layer perceptron
- high recognition rate
- probabilistic neural network
- recognition accuracy
- neural network model
- sign language recognition
- online handwriting
- improve the recognition accuracy
- recognition rate
- document images
- decision trees
- automatic recognition
- training process
- feature extraction
- learning stage
- text lines
- feature space
- handwritten words
- genetic algorithm
- document analysis
- training data
- recognition algorithm
- feature maps
- hand written
- nearest neighbour
- binary decision tree
- mathematical expressions
- machine vision
- action recognition
- hand postures
- training examples
- support vector machine
- feature selection
- support vector
- handwritten text
- hand shape
- class labels
- gesture recognition
- chinese characters
- gait recognition