Authentication using hand gesture

In some real-world personal identification applications requiring high security standards, multibiometrics can provide higher accuracy than single biometrics. Due to its good performance, palmprint has received a lot of attention among other biometrics technologies. Combining left and right palmprints for is easy implement produce better results. However, previous studies did not explore this issue in depth. An innovative framework performing by combining images presented paper. This integrated three kinds scores generated from the perform matching score-level fusion. These first two were images, respectively, be obtained using any method. third score was specialized algorithm. careful consideration proposed algorithm effectively exploit similarity between palmprints. Moreover, weighted fusion scheme allowed perfect performance comparison with methods.