Palm print Recognition Using Neighboring Direction Indicator

Multibiometrics can provide higher identification accuracy than single biometrics, so it is more suitable for some real-world personal identification applications that need high-standard security. Among various biometrics technologies, palm print identification has received much attention because of its good performance. Combining the left and right palm print images to perform Multibiometrics is easy to implement and can obtain better results. However, previous studies did not explore this issue in depth. In this Process, we proposed a novel framework to perform Multibiometrics 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 experiment is carried out by using MATLAB software image processing toolbox.