Can you tell a person’s gender from just a glimpse of their eyebrows? Could a computerised system do the same? To find out, a project was undertaken by Yujie Dong (of the Holcombe Department of Electrical and Computer Engineering, Clemson University) and Damon L. Woodard (now at the Biometrics and Pattern Recognition Lab, University of Florida) in 2011. The team used Minimum Distance Classifier (MD), Linear Discriminant Analysis Classifier (LDA) and Support Vector Machine Classifier (SVM) algorithms to extract eight eyebrow features from images (rectangularity, eccentricity, and isoperimetric quotient etc.) and were then able to determine a subject’s gender with an average accuracy of 96%
ahh, but what if you pluck them?