비접촉 손 영상에서 손가락 면을 이용한 개인 식별

Abstract

Multi-modal biometric system can use another biometric trait in the case of having deficiency at abiometric trait. It also has an advantage of improving the performance of personal identification by usingmultiple biometric traits, so studies on new biometric traits have continuously been performed. The innerface of finger is a relatively new biometric trait. It has two major features of knuckle lines and wrinkles,which can be used as discriminative features. This paper proposes a finger identification method basedon displacement vector to effectively process some variation appeared in contactless hand image. At first,the proposed method produces displacement vectors, which are made by connecting corresponding pointsacquired by matching each pair of local block. It then recognize finger by measuring the similarity amongall the detected displacement vectors. The experimental results using pubic CASIA hand image databaseshow that the proposed method may be effectively applied to personal identification.