A Comparison of Gaussian Distribution and Polynomial Classifiers in a Hidden Markov Model Based System for the Recognition of Cursive Script.
Jürgen FrankeJoachim M. GlogerAlfred KaltenmeierEberhard MandlerPublished in: ICDAR (1997)
Keyphrases
- gaussian distribution
- cursive script
- word recognition
- maximum likelihood
- noise model
- object recognition
- recognition rate
- gaussian mixture model
- handwritten words
- maximum a posteriori estimation
- feature extraction
- expectation maximization
- document analysis
- handwriting recognition
- pattern recognition
- training data
- character recognition
- image analysis
- feature selection
- automatic recognition
- automatic speech recognition