A study of the discriminability of fingerprints of twins is presented. The fingerprint data used is of high quality and quan-tity because of a predominantly young subject population of 298 pairs of twins whose tenprints were captured using a livescan device. Discriminability using level 1 and level 2 features is independently reported. The level 1 study was to visually classify by humans each fingerprint into one of six categories (right loop, left loop, whorl, arch, twin loop, and tented arch). It was found that twins are much more likely (55%) to have the same level 1 classification when compared to the general population (32%). The level 2 study was to compare minutiae (ridge endings and bifurcations). This was done by a minu-tiae-based automatic fingerprint identification algorithm that provided a score (0-350) given a pair of fingerprints. Scores were computed for corresponding fingers from both twins and non-twins. Five distribu-tions of scores were determined: twins, non-twins, identical twins, fraternal twins, and genuine scores from the same finger. Using the Kolmogorov-Smirnov test to compare distributions, the following inferences are made: twins are different from genuines, twins are different from non-twins, and identical twins are the same as fraternal twins. The main conclusion is that, although the patterns of minutiae among twins are more similar than in the general population, they are still discriminable.