As a unique and reliable biometric, palmprint recognition has attracted various researchers and achieved great success. However, palmprint alone may not be able to meet the increasing demand of high accuracy in today's biometric system. The purpose of the authors' paper is to inspect whether the integration of palmprint and fingerprint biometric can achieve performance that may not be possible using a single biometric technology. In this paper, palmprint authentication system is classified into palmprint image acquisition, preprocessing, feature extraction, feature fusion and matching. Here they employed an improved preprocessing technique to enhance the equalization. They propose a feature fusion for palmprint and fingerprint authentication.