The problem of distinguishing identical twins and non-twin look-alikes in automated facial recognition (FR) applications has become increasingly important with the widespread adoption biometrics. Due to high similarity both look-alikes, these face pairs represent hardest cases presented tools. This work presents an application one largest twin data sets compiled date address two FR challenges: ...