Multi-angle sclera recognition system

Abstract

Sclera patterns can be used for human classification and identification; however image quality can significantly affect the recognition accuracy. In this paper, we studied and analyzed four multi-angle sclera recognition fusion methods. The experimental results show that these proposed multi-angle sclera recognition systems can achieve better performance in general. In addition, it shows that it is important to take system application needs into account when selecting the fusion method.