We study, for the first time, automated inference on criminality based solely on still face images. (…) All four classifiers perform consistently well and produce evidence for the validity of automated face-induced inference on criminality, despite the historical controversy surrounding the topic. Also, we find some discriminating structural features for predicting criminality, such as lip curvature, eye inner corner distance, and the so-called nose-mouth angle.

Xiaolin Wu, Xi Zhang: Automated Inference on Criminality using Face Images