Automatic analysis of face images for college degree verification

Abstract

The article discusses application of machine learning to physiognomy. Two different neural-network models are examined as feature extractors from face images. In total three classifiers are trained and compared with each other, pursuing the goal of answering a question if it is possible to automatically verify a college degree based only on a human face. Our findings show that to a certain extent it is possible.