Accurate Personal Authentication by Combining Left and Right Palm Print Images

Abstract

This paper develops the accurate personal identification by combining the left and right palm print Images. Recognition of persons by means of biometric characteristics is an important technology in the society, because biometric identifiers can’t be shared and they intrinsically represent the individual’s bodily identity. But in single biometric technology there is more number of chances for fraudulent activities. When we use the multi biometric, it can provide higher accuracy than any other technologies. Among those palm print identification has received much attention because of its good performance. Combining the left and right palm print images to perform multi biometric is easy to implement and can obtain better results. In this paper, we proposed a novel framework to perform multi biometrics by comprehensively combining the left and right palm print images. This framework integrated three kinds of scores generated from the left and right palm print images to perform matching score-level fusion. The first two kinds of scores were, respectively, generated from the left and right palm print images and can be obtained by any palm print identification method, whereas the third kind of score was obtained using a specialized algorithm proposed in this paper.