Toolbox for ear biometric recognition evaluation

Abstract

Ears are not subjected to facial expressions like faces are and do not require closer inspection like fingerprints do. However, there is a problem of occlusion, different lightning conditions and angles. These properties mean that the final outcome depends heavily on the selected database and classification procedures used in the evaluation process. Moreover, the results metrics are often difficult to compare, different sections of evaluation procedure mask the important steps, and frameworks that are usually build on-the-fly take time to develop. With our toolbox we propose the solution to those problems enabling faster development in the field of ear biometric recognition.