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    ICDAR
    2003
    IEEE
    131views Document Analysis» more  ICDAR 2003»
    Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
    14 years 5 months ago
    Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
    Download  www.cse.salford.ac.uk
    In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
    Simon Günter, Horst Bunke
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