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This evaluation examined the effects of four frontal light intensities on the performance of a 3D face recognition algorithm, specifically testing the significance between an unchanging enrollment illumination condition (220-225 lux) and four different illumination levels for verification. The evaluation also analyzed the significance of external artifacts (i.e. glasses) and personal characteristics (i.e. facial hair) on the performance of the face recognition system (FRS). Collected variables from the volunteer crew included age, gender, ethnicity, facial characteristics, hair covering the forehead, scars on the face, and glasses. The analysis of data revealed that there are no statistically significant differences between environmental lighting and 3D FRS performance when a uniform or constant enrollment illumination level is used.