Off-Line Arabic Handwritten Characters Recognition Based on a Hidden Markov Models

We present a system based on Hidden Markov Models (HMMs) for off-line isolated Arabic handwritten characters recognition. The Hough accumulator of the character image is partitioned into equal horizontal bands that will be used to extract directional information. This information is translated into sequences of observations that are used to train the model for each character during the learning step.