The left and right palms of 499 individuals were classified for Level 1 pattern frequency in the interdigital, thenar, and hypothenar areas to establish a basic system for classifying palmprint patterns. Significant differences were observed in the frequency of patterns between right and left palms in the interdigital and thenar areas (p < 0.001), but there were no significant differences in the frequency of patterns between right and left hypothenar areas (p > 0.05). Symmetry between the right and left palms of an individual was noted in each area of the palm. The established palm classification system could be adapted to improve searches in the next generation of automated palmprint identification systems (APIS). To fully realize the capabilities of an APIS, many agencies will need additional training in how to record more complete palmprints. (Published Abstract)