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We study the problem of how to recognize a person only by his eyebrow based on Hidden Markov Models (HMM). By experiments on a small-scale eyebrow image database taken from 27 subjects, we show that our HMM-based eyebrow recognition method can achieve the highest accuracy of 92.6%, based on the relation of its accuracy to the number of observation symbols and that of states. Hence, we conclude that human eyebrow can work as a biometric with certain possibility and feasibility.
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