Reliability and accuracy in personal identification system is a dominant concern to the security world. Many types of personal identification systems have been developed, and palmprint identification is one of the emerging technologies that attracted the researchers due to its stable and unique characteristics. Recently, multispectral imaging has attracted considerable attention as it can acquire more discriminative information in a short time. This paper presents a novel biometric technique to automatic personal identification system using multispectral palmprint technology. In this method, each of spectrum images are aligned and then used to extract palmprint features using Contourlet Transform CT. It is a multiresolution and multidirection transform which can be effective in capturing the palm features. Finally, Genetic Algorithm is used for feature selections in order to have high performance. The expected results showed that the proposed method achieve an excellent identification rate and provide more security in noisy environment.