Personal Identification Using Fingernail Image Based on Correlation of Density Block

Abstract

This paper proposes an authentication using fingernail images by using the block segmentation matching. A fingernail is assumed to be a new physical character that is used for biometrics authentication. The proposed system is more effective than fingerprint authentication where psychological resistance and conformability are required. Since the block segmentation matching is useful for occlusion of an object, it is assumed to be robust to a partial change of fingernail. It is expected to enhance the difference of fingernails between persons. The experimental images of various lengths of fingernail and painted manicure were used for evaluation of system performance. The experimental results show that the proposed system obtains the sufficient accuracy to certificate individuals.