Automatic recognition of magnetic cheque characters with hidden Markov models

Abstract

Given a signal with a distinct pattern, one can easily define a model that represents such a signal as a sequence of states each with unique features. The models are hidden Markov models (HMM) configured in the most obvious way dependent only on the segmentation technique suggested. Each segment represents a state in the HMM. Models are proposed for recognition purposes.<>