Multispectral Palm print Image Fusion- A Review Anita G. Khandizod Department of Computer Science & Information Technology, Dr.Babasaheb Ambedkar Marathawada University. Aurangabad, India R. R. Deshmukh Department of Computer Science & Information Technology, Dr.Babasaheb Ambedkar Marathawada University. Aurangabad, India Abstract-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. Keywords—Biometric, Discrite wavelet transform, image fusion, 2 nd order derivitives. I. INTRODUCTION The term "biometrics" is derived from the Greek words bio (life) and metric (to measure), the science of establishing the identity of an individual based on physical, chemical, or behavioral attributes of the person [1]. Biometric consist two types of characteristics physiological and behavioral. These characteristics are unique to each and every individual hence can be used to verify or identify a person. Many users have password which may be forgot or easily accessible, smartcards, keys or tokens as the name implies, but users may share their smartcards, which result in wrong authentications even tokens can be lost or stolen [2]. Biometrics is known to be the most reliable method and strong authentication technologies, capable of providing higher degrees of certainty that a user really is who he or she claims to be, are becoming common, the following figure shows the how the security increased and very useful to the human recognition purpose. The working of the biometric system consist the following points.  Capture the chosen biometric.  Process the biometric and extract and enroll the biometric template.  Store the template in a local repository, a central repository, or a portable token such as a smart card.  Live-scan the chosen biometric.  Process the biometric and extract the biometric template.  Match the scanned biometric template against stored templates. Palmprint verification system using Biometrics is one of the emerging technologies, which recognizes a person based on the principle lines, wrinkles and ridges on the surface of the palm. Many researchers have shown that the performance of palm print based biometric systems is comparable to those of face, fingerprint and hand geometry. Compared with other biometric characteristics palmprint has advantages such as [3]. 1] More acceptable when captured. 2] Low-resolution imaging can be employed. 3] Workers or elderly people may not provide clear, fingerprint but could offer clear palmprint. 4] Palmprint image could provide even more information than fingerprint. 5] High accuracy and user friendliness. Fig.1 Palmpint feature (Principal lines & Wrinkles) [4] Palmprints have been widely studied for biometric recognition for many years. Various palmprint representations have been 2054 International Journal of Engineering Research & Technology (IJERT) Vol. 3 Issue 2, February - 2014 ISSN: 2278-0181 www.ijert.org IJERTV3IS21014