Discriminative Bernoulli HMMs for isolated handwritten word recognition

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Discriminative Bernoulli HMMs for isolated handwritten word recognition

Bernoulli HMMs (BHMMs) have been successfully applied to handwritten text recognition (HTR) tasks such as continuous and isolated handwritten words. BHMMs belong to the generative model family and, hence, are usually trained by (joint) maximum likelihood estimation (MLE) by means of the Baum-Welch algorithm. Despite the good properties of the MLE criterion, there are better training criteria su...

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ژورنال

عنوان ژورنال: Pattern Recognition Letters

سال: 2014

ISSN: 0167-8655

DOI: 10.1016/j.patrec.2013.05.016