engleski

Hidden Markov model for bar code denoising

A bar code signal is decoded by identifying spikes in the signal which correspond to edges between bars and spaces in a bar code pattern. We show that such a signal can be modelled as a hidden Markov chain with eight states. The model is designed to label the spikes which correspond to bar code edges and those which correspond to noise, thus effectively denoising a bar code signal. The performance of the algorithm is compared to other existing decoders.

hidden Markov chain; denoising

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