The Biometrics of Identical Twins
To improve existing biometric systems that fail to differentiate between identical twins who posses identical DNA.
We have met the challenge of identifying identical twins through the analysis of biometrics different from DNA including speech recordings, facial and head movements, and ear images. These types of biometric data, specially those pertaining to ear lobes, prove the existence of distinct behavioural biometrics for each individual twin and the general non-twin population. We have used our findings to propose new ways to augment existing face recognition systems to make them more robust against imposter attacks by identical twins.