Differentiating Identical Twins by Using Conditional Face Recognition Algorithms

Reliable and accurate verification of people is extremely important in a number of business transaction as well as access to privileged information. Identical twins have the closest genetics-based relationship and therefore, the maximum similarity between face is expected to be found among identical twins. This paper presents facial features, which has important for the acceptance of expert proof in legal proceedings for determining the identity of an individual from facial images. Our experiments show that modal of face recognition systems can distinguish two different person who are identical twins. We show the effect of using a variety of facial surface representation and suggest a method of identifying identical twins. Performance results are broken out by lighting, expression, gender and age.