A novel finger-knuckle-print recognition based on convex optimization

摘要

A novel finger-knuckle-print (FKP) recognition based on convex optimization is proposed in this paper. Convex hulls and image sets are adopted to construct the proposed method. Experiments on the publish FKP database show that the proposed algorithm can achieve high performance compared with the state-of-the-art method.