Evaluation of Different Strategies to Optimize an HMM-Based Character Recognition System

Abstract

Different strategies for combination of complementary features in an HMM-based method for handwritten character recognition are evaluated. In addition, a noise reduction method is proposed to deal with the negative impact of low probability symbols in the training database. New sequences of observations are generated based on the original ones, but… (More)
DOI: 10.1109/ICDAR.2009.230

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