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Interactive Parts Model: an Application to Recognition of On-line Cursive Script

By Predrag Neskovic, Philip C Davis and Leon N Cooper


In this work, we introduce an Interactive Parts (IP) model as an alternative to Hidden Markov Models (HMMs). We tested both models on a database of on-line cursive script. We show that implementations of HMMs and the IP model, in which all letters are assumed to have the same average width, give comparable results

Year: 2000
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