Invariant Recognition of Hand-Drawn Pictograms Using HMMs with a Rotating Feature Extraction

Abstract

In this paper, we present a new feature extraction technique and a novel Hidden Markov Model (HMM) based classifier for the rotation, translation and scale invariant recognition of handdrawn pictograms. The feature extraction is performed by taking a fixed dimensional vector along the radius of a circle surrounding the pictogram. Within the HMM-framework… (More)

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