Multispectral Palm print Image Fusion- A Review

In our daily lives, there is a frequent need in identifying people correctly and verifying their identities, biometrics, is the solution and known to be the most reliable method and strong authentication technologies, with the increasing demand of biometric solutions for security systems, palmprint recognition a relatively novel but promising biometric technology. Although the study of palmprint recognition has a shorter history than fingerprint and face recognition, more attention has been directed towards this promising field. In recent years many research have obtained attention in Hand biometrics, including fingerprint, palmprint, and hand geometry and hand vein pattern, there are various types if technique are used although all of them use white light as the illumination source, there is no work systematically evaluating whether white light color illumination is the optimal choice for palmprint recognition this issue, is address by using the multispectral palmprint consist Red, Green, Blue, and NIR these 4 different types of illumination. In this paper, comparative study of several feature level multispectral palm image fusion approaches is conducted. Among others, wavelet transform based image fusion is found to perform best in preserving discriminative patterns from multispectral palm images.