Biometrics is the one of the important technique of identity science for recognition of individual based on their physiological or behavioral trait. Recognition is achieved by the identity of different parts of human body. Iris recognition is the most trustworthy biometric due to rich texture and permanence in cooperative environment but in unconstrained and non-cooperative environment its performance is affected due to degraded input data or images. Biometric modalities that use the characteristic feature of eye for recognition are known as ocular biometrics. It also works well when the captured image quality is not better and it does not require user cooperation. The study compares different ocular biometrics techniques and analyzes the results.