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In this paper we describe a Hidden Markov Model (HMM) based writer independent handwriting recognition system. A combination of signal normalization preprocessing and the use of invariant features makes the system robust with respect to variability among different writers as well as different writing environments and ink collection mechanisms. A combination of point oriented and stroke oriented features...