Previous works have shown that the ear is a promising candidate for biometric identification. However, in prior work, the preprocessing of ear images has had manual steps and algorithms have not necessarily handled problems caused by hair and ear

This an OPENCV based project. Here we are implementing the algorithm that uses adaptive methods to segment the image to identify objects. The objects are then used to form candidate markers which are examined for several criteria. Potential m