Automated Inference on Criminality using Face Images

@article{Wu2016AutomatedIO,
  title={Automated Inference on Criminality using Face Images},
  author={Xiaolin Wu and Xi Zhang},
  journal={CoRR},
  year={2016},
  volume={abs/1611.04135}
}
We study, for the first time, automated inference on criminality based solely on still face images. Via supervised machine learning, we build four classifiers (logistic regression, KNN, SVM, CNN) using facial images of 1856 real persons controlled for race, gender, age and facial expressions, nearly half of whom were convicted criminals, for discriminating between criminals and non-criminals. All four classifiers perform consistently well and produce evidence for the validity of automated face… CONTINUE READING
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