Eyebrow Recognition Based on Principal Component Analysis
Lijuan Wang · Computer Engineering and Science · 2008
This paper analyzes the possibility that human eyebrow works as an independent biometric for personal identification,and proposes the idea that PCA may be applied to eyebrow recognition.Using a small-scale database of eyebrow images taken from 32 persons,the problem of how PCA-based eyebrow recognition accuracy is related to the size-normalized methods and the information threshold has been studied respectively in the two cases:one constructing feature vectors from pure eyebrow images,the other from their Fourier Transform.The experimental results show that the highest accuracies are respectively 60.00% in the first case and 90.63% in the second one.