HMM Based Eyebrow Recognition

Authors:
Yujian Li;Xingli Li
Affiliations:
-;-
Venue:
IIH-MSP '07 Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) - Volume 01
Year:
2007

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Human eyebrow recognition in the matching-recognizing framework

Computer Vision and Image Understanding

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Abstract

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.