Software Assisted Profiling of Dentition in Human Identification

Abstract

A sample of 50 subjects (25 males and 25 females) aged between 20 and 40 years were included in the study. Two sequential techniques were followed. Dental casts and pictures were analyzed by 3 blind observers by comparison of dental traits and then confirmed by superimposition using Adobe Photoshop CC. Positive identification was achieved by application of two techniques. ICC Multiple Raters and ICC Two Raters were applied to analyze the stratum of agreement between the observers.