Machine Learning to Identify Gender via Hair Elements
Pasquale Avino, Francesco Mercaldo, Vittoria Nardone, Ivan Notardonato, Antonella Santone · 2019
Currently, the gender is mainly inferred through bone and dental analyses. However, such sort of analysis is useless when bones are not available. Hair is a stable substance that, depending on its length, is capable of retaining years of information. In this paper we propose a machine learning based approach aimed to identify gender through hair elements. Preliminary results have even indicated that the method is promising also for forensics analysis since it is able to identify the gender with a high accuracy.