English: "(A) Representation of the global worldwide distribution of 32 look-alike pairs (n = 64) in this study.

(B) 27 facial parameters by which the Microsoft Oxford Project face API (Microsoft) objectively performs face detection. (C) Venn diagram showing the number of look-alike pairs discerned and jointly identified in the three facial recognition programs: MatConvNet, Custom-Net, and Microsoft. Numbers within the semi-circle present the pairs that did not cluster in each software. (D) Boxplots showing unbiased quantitative similarity scores comparing each facial recognition software (MatConvNet, Custom-Net, Microsoft) for monozygotic twins (MZs; blue), look-alike pairs (LALs; rose), and random non-LALs (red). The x axis represents the different cohorts analyzed. The y axis exhibits similarity scores measured between 0 and 1. 1 represents identical facial image, and 0 represents two totally different photographic entities. “N” indicates the number of couples. Differences calculated using two-sided Mann-Whitney-Wilcoxon test: ∗∗∗∗p < 0.0001; ∗∗∗p < 0.001; ns, non-significant.

(E) Photographic examples of LALs used in this study."