Applications of hidden Markov models in bar code decoding

We present a novel approach to edge detection in bar code signals using a hidden Markov model (HMM). We also present an algorithm for selection of an optimal filter scale used in smoothing the data. Experimental results show that the proposed HMM is superior in performance compared with existing algorithms in commercial scanners.